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Christopher Callison-Burch
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- affiliation: University of Pennsylvania, Philadelphia, PA, USA
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2020 – today
- 2025
[c182]Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch:
Calibrating Large Language Models with Sample Consistency. AAAI 2025: 19260-19268- [c181]Jenny S. Wang
, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Chris Callison-Burch, David M. Rothschild, Duncan J. Watts:
Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage. CHI 2025: 790:1-790:27 - [i99]Liam Dugan, Andrew Zhu, Firoj Alam, Preslav Nakov, Marianna Apidianaki, Chris Callison-Burch:
GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge. CoRR abs/2501.08913 (2025) - [i98]Jenny S. Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Chris Callison-Burch, David M. Rothschild, Duncan J. Watts:
Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage. CoRR abs/2502.06009 (2025) - [i97]Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark:
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation. CoRR abs/2502.14846 (2025) - [i96]Justin Qiu, Jiacheng Zhu, Ajay Patel, Marianna Apidianaki, Chris Callison-Burch:
mStyleDistance: Multilingual Style Embeddings and their Evaluation. CoRR abs/2502.15168 (2025) - [i95]Delip Rao, Weiqiu You, Eric Wong, Chris Callison-Burch:
NSF-SciFy: Mining the NSF Awards Database for Scientific Claims. CoRR abs/2503.08600 (2025) - 2024
- [j20]Qing Lyu, Marianna Apidianaki, Chris Callison-Burch:
Towards Faithful Model Explanation in NLP: A Survey. Comput. Linguistics 50(2): 657-723 (2024) - [c180]Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown:
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. AAAI 2024: 18216-18224 - [c179]Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch:
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models. ACL (Short Papers) 2024: 18-37 - [c178]Ajay Patel, Colin Raffel, Chris Callison-Burch:
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows. ACL (1) 2024: 3781-3799 - [c177]Liam Dugan, Alyssa Hwang, Filip Trhlík, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch:
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. ACL (1) 2024: 12463-12492 - [c176]Zhaoyi Hou, Li Zhang, Chris Callison-Burch:
Choice-75: A Dataset on Decision Branching in Script Learning. LREC/COLING 2024: 3215-3223 - [c175]Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CVPR 2024: 16277-16287 - [c174]Li Zhang, Hainiu Xu, Abhinav Kommula, Chris Callison-Burch, Niket Tandon:
OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. EACL (1) 2024: 166-178 - [c173]Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu:
CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing. ECCV (29) 2024: 180-196 - [c172]Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu:
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings. EMNLP (Findings) 2024: 13376-13390 - [c171]Runsheng Huang, Liam Dugan, Yue Yang, Chris Callison-Burch:
MiRAGeNews: Multimodal Realistic AI-Generated News Detection. EMNLP (Findings) 2024: 16436-16448 - [c170]Bryan Li, Samar Haider, Chris Callison-Burch:
This Land is Your, My Land: Evaluating Geopolitical Bias in Language Models through Territorial Disputes. NAACL-HLT 2024: 3855-3871 - [c169]Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar:
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis. NeurIPS 2024 - [c168]Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal:
PaCE: Parsimonious Concept Engineering for Large Language Models. NeurIPS 2024 - [c167]Li Zhang, Peter A. Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon:
PDDLEGO: Iterative Planning in Textual Environments. *SEM@NAACL 2024: 212-221 - [i94]Ajay Patel, Colin Raffel, Chris Callison-Burch:
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows. CoRR abs/2402.10379 (2024) - [i93]Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch:
Calibrating Large Language Models with Sample Consistency. CoRR abs/2402.13904 (2024) - [i92]Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch:
FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models. CoRR abs/2402.14116 (2024) - [i91]Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu, Peter Clark, Chris Callison-Burch, Niket Tandon:
PROC2PDDL: Open-Domain Planning Representations from Texts. CoRR abs/2403.00092 (2024) - [i90]Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu:
CoMo: Controllable Motion Generation through Language Guided Pose Code Editing. CoRR abs/2403.13900 (2024) - [i89]Liam Dugan, Alyssa Hwang, Filip Trhlík, Josh Magnus Ludan, Andrew Zhu, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch:
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. CoRR abs/2405.07940 (2024) - [i88]Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar:
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis. CoRR abs/2405.14839 (2024) - [i87]Artemis Panagopoulou, Coby Melkin, Chris Callison-Burch:
Evaluating Vision-Language Models on Bistable Images. CoRR abs/2405.19423 (2024) - [i86]Li Zhang, Peter Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon:
PDDLEGO: Iterative Planning in Textual Environments. CoRR abs/2405.19793 (2024) - [i85]Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter:
Large Language Models Can Self-Improve At Web Agent Tasks. CoRR abs/2405.20309 (2024) - [i84]Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal:
PaCE: Parsimonious Concept Engineering for Large Language Models. CoRR abs/2406.04331 (2024) - [i83]Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch:
Learning Translations via Matrix Completion. CoRR abs/2406.13195 (2024) - [i82]Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu:
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings. CoRR abs/2406.15586 (2024) - [i81]Andrew Zhu, Liam Dugan, Chris Callison-Burch:
ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems. CoRR abs/2408.02248 (2024) - [i80]Jaewoo Song, Andrew Zhu, Chris Callison-Burch:
You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling. CoRR abs/2409.06949 (2024) - [i79]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - [i78]Bryan Li, Aleksey Panasyuk, Chris Callison-Burch:
Uncovering Differences in Persuasive Language in Russian versus English Wikipedia. CoRR abs/2409.19148 (2024) - [i77]Bryan Li, Samar Haider, Fiona Luo, Adwait Agashe, Chris Callison-Burch:
BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation. CoRR abs/2410.01171 (2024) - [i76]Runsheng Huang, Liam Dugan, Yue Yang, Chris Callison-Burch:
MiRAGeNews: Multimodal Realistic AI-Generated News Detection. CoRR abs/2410.09045 (2024) - [i75]Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathy McKeown, Chris Callison-Burch:
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. CoRR abs/2410.12757 (2024) - [i74]Delip Rao, Jonathan Young, Thomas Dietterich, Chris Callison-Burch:
WithdrarXiv: A Large-Scale Dataset for Retraction Study. CoRR abs/2412.03775 (2024) - [i73]Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles:
ViUniT: Visual Unit Tests for More Robust Visual Programming. CoRR abs/2412.08859 (2024) - [i72]Runsheng Huang, Lara J. Martin, Chris Callison-Burch:
WHAT-IF: Exploring Branching Narratives by Meta-Prompting Large Language Models. CoRR abs/2412.10582 (2024) - 2023
- [j19]Aditya Kashyap, Chris Callison-Burch, Mary Regina Boland:
A deep learning method to detect opioid prescription and opioid use disorder from electronic health records. Int. J. Medical Informatics 171: 104979 (2023) - [j18]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [c166]Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head:
Rewriting the Script: Adapting Text Instructions for Voice Interaction. Conference on Designing Interactive Systems 2023: 2233-2248 - [c165]Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Sherry Shi, Chris Callison-Burch:
Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text. AAAI 2023: 12763-12771 - [c164]Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Leon Zhou, Hainiu Xu, Li Zhang, Lara J. Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown, Reece Suchocki, Chris Callison-Burch:
Human-in-the-loop Schema Induction. ACL (demo) 2023: 1-10 - [c163]Andrew Zhu, Karmanya Aggarwal, Alexander H. Feng, Lara J. Martin, Chris Callison-Burch:
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information. ACL (1) 2023: 4171-4193 - [c162]Josh Magnus Ludan, Yixuan Meng, Tai Nguyen, Saurabh Shah, Qing Lyu, Marianna Apidianaki, Chris Callison-Burch:
Explanation-based Finetuning Makes Models More Robust to Spurious Cues. ACL (1) 2023: 4420-4441 - [c161]Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. ACL (1) 2023: 5677-5697 - [c160]Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. ACL (1) 2023: 11136-11155 - [c159]Yijiang River Dong, Lara J. Martin, Chris Callison-Burch:
CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding. ACL (Findings) 2023: 13152-13168 - [c158]Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch:
CALYPSO: LLMs as Dungeon Master's Assistants. AIIDE 2023: 380-390 - [c157]Shriyash Upadhyay, Etan Ginsberg, Chris Callison-Burch:
Improving Mathematics Tutoring With A Code Scratchpad. BEA@ACL 2023: 20-28 - [c156]Hannah Gonzalez, Liam Dugan, Eleni Miltsakaki, Zhiqi Cui, Jiaxuan Ren, Bryan Li, Shriyash Upadhyay, Etan Ginsberg, Chris Callison-Burch:
Enhancing Human Summaries for Question-Answer Generation in Education. BEA@ACL 2023: 108-118 - [c155]Hannah Gonzalez, Jiening Li, Helen Jin, Jiaxuan Ren, Hongyu Zhang, Ayotomiwa Akinyele, Adrian Wang, Eleni Miltsakaki, Ryan S. Baker, Chris Callison-Burch:
Automatically Generated Summaries of Video Lectures May Enhance Students' Learning Experience. BEA@ACL 2023: 382-393 - [c154]Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar:
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification. CVPR 2023: 19187-19197 - [c153]Shriyash Upadhyay, Chris Callison-Burch, Etan Ginsberg:
Learn With Martian: A Tool For Creating Assignments That Can Write And Re-Write Themselves. EACL (System Demonstrations) 2023: 267-276 - [c152]Li Zhang, Hainiu Xu, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris Callison-Burch:
Causal Reasoning of Entities and Events in Procedural Texts. EACL (Findings) 2023: 415-431 - [c151]Bryan Li, Chris Callison-Burch:
PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale. EMNLP (Findings) 2023: 439-454 - [c150]Ajay Patel, Delip Rao, Ansh Kothary, Kathleen R. McKeown, Chris Callison-Burch:
Learning Interpretable Style Embeddings via Prompting LLMs. EMNLP (Findings) 2023: 15270-15290 - [c149]Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch:
Bidirectional Language Models Are Also Few-shot Learners. ICLR 2023 - [c148]Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch:
Faithful Chain-of-Thought Reasoning. IJCNLP (1) 2023: 305-329 - [c147]Liam Dugan, Anshul Wadhawan, Kyle Spence, Chris Callison-Burch, Morgan McGuire, Victor B. Zordan:
Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models. INTERSPEECH 2023: 5265-5266 - [c146]Qing Lyu, Marianna Apidianaki, Chris Callison-Burch:
Representation of Lexical Stylistic Features in Language Models' Embedding Space. *SEM@ACL 2023: 370-387 - [i71]Li Zhang, Chris Callison-Burch:
Language Models are Drummers: Drum Composition with Natural Language Pre-Training. CoRR abs/2301.01162 (2023) - [i70]Li Zhang, Hainiu Xu, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris Callison-Burch:
Causal Reasoning of Entities and Events in Procedural Texts. CoRR abs/2301.10896 (2023) - [i69]Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch:
Faithful Chain-of-Thought Reasoning. CoRR abs/2301.13379 (2023) - [i68]Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Liyang Zhou, Hainiu Xu, Li Zhang, Lara J. Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown, Reece Suchocki, Chris Callison-Burch:
Human-in-the-Loop Schema Induction. CoRR abs/2302.13048 (2023) - [i67]Bryan Li, Chris Callison-Burch:
PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale. CoRR abs/2304.12206 (2023) - [i66]Li Zhang, Liam Dugan, Hainiu Xu, Chris Callison-Burch:
Exploring the Curious Case of Code Prompts. CoRR abs/2304.13250 (2023) - [i65]Andrew Zhu, Karmanya Aggarwal, Alexander H. Feng, Lara J. Martin, Chris Callison-Burch:
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information. CoRR abs/2305.01528 (2023) - [i64]Josh Magnus Ludan, Yixuan Meng, Tai Nguyen, Saurabh Shah, Qing Lyu, Marianna Apidianaki, Chris Callison-Burch:
Explanation-based Finetuning Makes Models More Robust to Spurious Cues. CoRR abs/2305.04990 (2023) - [i63]Ajay Patel, Delip Rao, Chris Callison-Burch:
Learning Interpretable Style Embeddings via Prompting LLMs. CoRR abs/2305.12696 (2023) - [i62]Li Zhang, Hainiu Xu, Abhinav Kommula, Niket Tandon, Chris Callison-Burch:
OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. CoRR abs/2305.14603 (2023) - [i61]Bryan Li, Chris Callison-Burch:
This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models. CoRR abs/2305.14610 (2023) - [i60]Qing Lyu, Marianna Apidianaki, Chris Callison-Burch:
Representation Of Lexical Stylistic Features In Language Models' Embedding Space. CoRR abs/2305.18657 (2023) - [i59]Liam Dugan, Anshul Wadhawan, Kyle Spence, Chris Callison-Burch, Morgan McGuire, Victor B. Zordan:
Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models. CoRR abs/2306.01201 (2023) - [i58]Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head:
Rewriting the Script: Adapting Text Instructions for Voice Interaction. CoRR abs/2306.09992 (2023) - [i57]Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. CoRR abs/2307.01972 (2023) - [i56]Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch:
CALYPSO: LLMs as Dungeon Masters' Assistants. CoRR abs/2308.07540 (2023) - [i55]Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown:
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. CoRR abs/2308.15459 (2023) - [i54]Andrew Zhu, Liam Dugan, Alyssa Hwang, Chris Callison-Burch:
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications. CoRR abs/2309.05542 (2023) - [i53]Zhaoyi Joey Hou, Li Zhang, Chris Callison-Burch:
Choice-75: A Dataset on Decision Branching in Script Learning. CoRR abs/2309.11737 (2023) - [i52]Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter A. Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark:
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization. CoRR abs/2310.10134 (2023) - [i51]Josh Magnus Ludan, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, Chris Callison-Burch:
Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck. CoRR abs/2310.19660 (2023) - [i50]Alyssa Hwang, Andrew Head, Chris Callison-Burch:
Grounded Intuition of GPT-Vision's Abilities with Scientific Images. CoRR abs/2311.02069 (2023) - [i49]A. Feder Cooper, Katherine Lee, James Grimmelmann, Daphne Ippolito, Christopher Callison-Burch, Christopher A. Choquette-Choo, Niloofar Mireshghallah, Miles Brundage, David Mimno, Madiha Zahrah Choksi, Jack M. Balkin, Nicholas Carlini, Christopher De Sa, Jonathan Frankle, Deep Ganguli, Bryant Gipson, Andres Guadamuz, Swee Leng Harris, Abigail Z. Jacobs, Elizabeth Joh, Gautam Kamath, Mark Lemley, Cass Matthews, Christine McLeavey, Corynne McSherry, Milad Nasr, Paul Ohm, Adam Roberts, Tom Rubin, Pamela Samuelson, Ludwig Schubert, Kristen Vaccaro, Luis Villa, Felix Wu, Elana Zeide:
Report of the 1st Workshop on Generative AI and Law. CoRR abs/2311.06477 (2023) - [i48]Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CoRR abs/2312.09067 (2023) - 2022
- [c145]Emily Reif, Daphne Ippolito, Ann Yuan, Andy Coenen, Chris Callison-Burch, Jason Wei:
A Recipe for Arbitrary Text Style Transfer with Large Language Models. ACL (2) 2022: 837-848 - [c144]Liam Dugan, Eleni Miltsakaki, Shriyash Upadhyay, Etan Ginsberg, Hannah Gonzalez, DaHyeon Choi, Chuning Yuan, Chris Callison-Burch:
A Feasibility Study of Answer-Unaware Question Generation for Education. ACL (Findings) 2022: 1919-1926 - [c143]Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig:
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. ACL (1) 2022: 2998-3012 - [c142]Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini:
Deduplicating Training Data Makes Language Models Better. ACL (1) 2022: 8424-8445 - [c141]Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch:
Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction. EMNLP (Findings) 2022: 638-655 - [c140]Chris Callison-Burch, Gaurav Singh Tomar, Lara J. Martin, Daphne Ippolito, Suma Bailis, David Reitter:
Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. EMNLP 2022: 9379-9393 - [c139]Young Min Cho, Li Zhang, Chris Callison-Burch:
Unsupervised Entity Linking with Guided Summarization and Multiple-Choice Selection. EMNLP 2022: 9394-9401 - [c138]Anietie Andy, Reno Kriz, Sharath Chandra Guntuku, Derry Tanti Wijaya, Chris Callison-Burch:
Did that happen? Predicting Social Media Posts that are Indicative of what happened in a scene: A case study of a TV show. LREC 2022: 7209-7214 - [c137]Daphne Ippolito, Liam Dugan, Emily Reif, Ann Yuan, Andy Coenen, Chris Callison-Burch:
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank. NAACL-HLT (Findings) 2022: 2421-2432 - [c136]Qing Lyu, Zheng Hua, Daoxin Li, Li Zhang, Marianna Apidianaki, Chris Callison-Burch:
Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases. NAACL-HLT 2022: 5286-5302 - [i47]Bryan Li, Lara J. Martin, Chris Callison-Burch:
CIS2: A Simplified Commonsense Inference Evaluation for Story Prose. CoRR abs/2202.07880 (2022) - [i46]Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig:
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. CoRR abs/2203.07264 (2022) - [i45]Liam Dugan, Eleni Miltsakaki, Shriyash Upadhyay, Etan Ginsberg, Hannah Gonzalez, Dayheon Choi, Chuning Yuan, Chris Callison-Burch:
A Feasibility Study of Answer-Agnostic Question Generation for Education. CoRR abs/2203.08685 (2022) - [i44]Anietie Andy, Siyi Liu, Daphne Ippolito, Reno Kriz, Chris Callison-Burch, Derry Wijaya:
Creating Multimedia Summaries Using Tweets and Videos. CoRR abs/2203.08931 (2022) - [i43]Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle H. Ungar, João Sedoc:
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. CoRR abs/2205.12698 (2022) - [i42]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i41]Daphne Ippolito, Liam Dugan, Emily Reif, Ann Yuan, Andy Coenen, Chris Callison-Burch:
The Case for a Single Model that can Both Generate Continuations and Fill in the Blank. CoRR abs/2206.04812 (2022) - [i40]Bryan Li, Mohammad Sadegh Rasooli, Ajay Patel, Chris Callison-Burch:
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation. CoRR abs/2209.02821 (2022) - [i39]Qing Lyu, Marianna Apidianaki, Chris Callison-Burch:
Towards Faithful Model Explanation in NLP: A Survey. CoRR abs/2209.11326 (2022) - [i38]Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch:
Bidirectional Language Models Are Also Few-shot Learners. CoRR abs/2209.14500 (2022) - [i37]Chris Callison-Burch, Gaurav Singh Tomar, Lara J. Martin, Daphne Ippolito, Suma Bailis, David Reitter:
Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. CoRR abs/2210.07109 (2022) - [i36]Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch:
Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction. CoRR abs/2210.12905 (2022) - [i35]Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar:
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification. CoRR abs/2211.11158 (2022) - [i34]Ajay Patel, Nicholas Andrews, Chris Callison-Burch:
Low-Resource Authorship Style Transfer with In-Context Learning. CoRR abs/2212.08986 (2022) - [i33]Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. CoRR abs/2212.10060 (2022) - [i32]Yijiang River Dong, Lara J. Martin, Chris Callison-Burch:
CORRPUS: Detecting Story Inconsistencies via Codex-Bootstrapped Neurosymbolic Reasoning. CoRR abs/2212.10754 (2022) - [i31]Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Sherry Shi, Chris Callison-Burch:
Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text. CoRR abs/2212.12672 (2022) - 2021
- [c135]Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch:
GooAQ: Open Question Answering with Diverse Answer Types. EMNLP (Findings) 2021: 421-433 - [c134]Mohammad Sadegh Rasooli, Chris Callison-Burch, Derry Tanti Wijaya:
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks. EMNLP (1) 2021: 1655-1670 - [c133]Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch:
Visual Goal-Step Inference using wikiHow. EMNLP (1) 2021: 2167-2179 - [c132]Joongwon Kim, Mounica Maddela, Reno Kriz, Wei Xu, Chris Callison-Burch:
BiSECT: Learning to Split and Rephrase Sentences with Bitexts. EMNLP (1) 2021: 6193-6209 - [c131]Qing Lyu, Li Zhang, Chris Callison-Burch:
Goal-Oriented Script Construction. INLG 2021: 184-200 - [c130]Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji:
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) 2021: 133-143 - [c129]Nikzad Khani, Isidora Chara Tourni, Mohammad Sadegh Rasooli, Chris Callison-Burch, Derry Tanti Wijaya:
Cultural and Geographical Influences on Image Translatability of Words across Languages. NAACL-HLT 2021: 198-209 - [c128]Ann Yuan, Daphne Ippolito, Vitaly Nikolaev, Chris Callison-Burch, Andy Coenen, Sebastian Gehrmann:
SynthBio: A Case Study in Faster Curation of Text Datasets. NeurIPS Datasets and Benchmarks 2021 - [i30]Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch:
Visual Goal-Step Inference using wikiHow. CoRR abs/2104.05845 (2021) - [i29]Mohammad Sadegh Rasooli, Chris Callison-Burch, Derry Tanti Wijaya:
"Wikily" Neural Machine Translation Tailored to Cross-Lingual Tasks. CoRR abs/2104.08384 (2021) - [i28]Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch:
GooAQ: Open Question Answering with Diverse Answer Types. CoRR abs/2104.08727 (2021) - [i27]Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini:
Deduplicating Training Data Makes Language Models Better. CoRR abs/2107.06499 (2021) - [i26]Qing Lyu, Li Zhang, Chris Callison-Burch:
Goal-Oriented Script Construction. CoRR abs/2107.13189 (2021) - [i25]Emily Reif, Daphne Ippolito, Ann Yuan, Andy Coenen, Chris Callison-Burch, Jason Wei:
A Recipe For Arbitrary Text Style Transfer with Large Language Models. CoRR abs/2109.03910 (2021) - [i24]Joongwon Kim, Mounica Maddela, Reno Kriz, Wei Xu, Chris Callison-Burch:
BiSECT: Learning to Split and Rephrase Sentences with Bitexts. CoRR abs/2109.05006 (2021) - [i23]Ann Yuan, Daphne Ippolito, Vitaly Nikolaev, Chris Callison-Burch, Andy Coenen, Sebastian Gehrmann:
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets. CoRR abs/2111.06467 (2021) - [i22]Yue Yang, Joongwon Kim, Artemis Panagopoulou, Mark Yatskar, Chris Callison-Burch:
Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval. CoRR abs/2111.09276 (2021) - [i21]Qing Lyu, Hua Zheng, Daoxin Li, Li Zhang, Marianna Apidianaki, Chris Callison-Burch:
Is "my favorite new movie" my favorite movie? Probing the Understanding of Recursive Noun Phrases. CoRR abs/2112.08326 (2021) - 2020
- [j17]Aditya Kashyap, Heather Burris, Chris Callison-Burch, Mary Regina Boland:
The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes. Int. J. Medical Informatics 137: 104101 (2020) - [c127]Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck:
Automatic Detection of Generated Text is Easiest when Humans are Fooled. ACL 2020: 1808-1822 - [c126]Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch:
Toward Better Storylines with Sentence-Level Language Models. ACL 2020: 7472-7478 - [c125]Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Chris Callison-Burch:
RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text. EMNLP (Demos) 2020: 189-196 - [c124]Li Zhang, Qing Lyu, Chris Callison-Burch:
Reasoning about Goals, Steps, and Temporal Ordering with WikiHow. EMNLP (1) 2020: 4630-4639 - [c123]Li Zhang, Qing Lyu, Chris Callison-Burch:
Intent Detection with WikiHow. AACL/IJCNLP 2020: 328-333 - [e10]James Fiumara, Christopher Cieri, Mark Y. Liberman, Chris Callison-Burch:
Proceedings of the LREC 2020 Workshop on Citizen Linguistics in Language Resource Development, CLLRD@LREC 2020, Marseille, France, May 2020. European Language Resources Association 2020, ISBN 979-10-95546-59-7 [contents] - [i20]Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch:
Toward Better Storylines with Sentence-Level Language Models. CoRR abs/2005.05255 (2020) - [i19]Li Zhang, Qing Lyu, Chris Callison-Burch:
Intent Detection with WikiHow. CoRR abs/2009.05781 (2020) - [i18]Qing Lyu, Li Zhang, Chris Callison-Burch:
Reasoning about Goals, Steps, and Temporal Ordering with WikiHow. CoRR abs/2009.07690 (2020) - [i17]Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Chris Callison-Burch:
RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text. CoRR abs/2010.03070 (2020) - [i16]Mohammad Sadegh Rasooli, Farzane Bakhtyari, Fatemeh Shafiei, Mahsa Ravanbakhsh, Chris Callison-Burch:
Automatic Standardization of Colloquial Persian. CoRR abs/2012.05879 (2020) - [i15]Reno Kriz, Marianna Apidianaki, Chris Callison-Burch:
Simple-QE: Better Automatic Quality Estimation for Text Simplification. CoRR abs/2012.12382 (2020)
2010 – 2019
- 2019
- [j16]Anne Cocos, Chris Callison-Burch:
Paraphrase-Sense-Tagged Sentences. Trans. Assoc. Comput. Linguistics 7: 714-728 (2019) - [c122]Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth:
PerspectroScope: A Window to the World of Diverse Perspectives. ACL (3) 2019: 129-134 - [c121]Daphne Ippolito, Reno Kriz, João Sedoc, Maria Kustikova, Chris Callison-Burch:
Comparison of Diverse Decoding Methods from Conditional Language Models. ACL (1) 2019: 3752-3762 - [c120]Kotaro Hara, Abigail Adams, Kristy Milland, Saiph Savage, Benjamin V. Hanrahan, Jeffrey P. Bigham, Chris Callison-Burch:
Worker Demographics and Earnings on Amazon Mechanical Turk: An Exploratory Analysis. CHI Extended Abstracts 2019 - [c119]Aina Garí Soler, Anne Cocos, Marianna Apidianaki, Chris Callison-Burch:
A Comparison of Context-sensitive Models for Lexical Substitution. IWCS (1) 2019: 271-282 - [c118]João Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle H. Ungar, Chris Callison-Burch:
ChatEval: A Tool for Chatbot Evaluation. NAACL-HLT (Demonstrations) 2019: 60-65 - [c117]Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth:
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. NAACL-HLT (1) 2019: 542-557 - [c116]Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch:
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. NAACL-HLT (1) 2019: 3137-3147 - [c115]Bhavna Saluja, Gaurav Kumar, João Sedoc, Chris Callison-Burch:
Anonymization of Sensitive Information in Medical Health Records. IberLEF@SEPLN 2019: 647-653 - [i14]Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch:
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. CoRR abs/1904.02767 (2019) - [i13]Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth:
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. CoRR abs/1906.03538 (2019) - [i12]Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth:
PerspectroScope: A Window to the World of Diverse Perspectives. CoRR abs/1906.04761 (2019) - [i11]Daphne Ippolito, Reno Kriz, Maria Kustikova, João Sedoc, Chris Callison-Burch:
Comparison of Diverse Decoding Methods from Conditional Language Models. CoRR abs/1906.06362 (2019) - [i10]Jeffrey Cheng, Chris Callison-Burch:
Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors. CoRR abs/1909.01146 (2019) - [i9]Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck:
Human and Automatic Detection of Generated Text. CoRR abs/1911.00650 (2019) - 2018
- [c114]John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya, Chris Callison-Burch:
Learning Translations via Images with a Massively Multilingual Image Dataset. ACL (1) 2018: 2566-2576 - [c113]Kotaro Hara, Abigail Adams, Kristy Milland, Saiph Savage, Chris Callison-Burch, Jeffrey P. Bigham:
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk. CHI 2018: 449 - [c112]Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki:
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. EMNLP (Demonstration) 2018: 120-126 - [c111]Anne Cocos, Veronica Wharton, Ellie Pavlick, Marianna Apidianaki, Chris Callison-Burch:
Learning Scalar Adjective Intensity from Paraphrases. EMNLP 2018: 1752-1762 - [c110]Christopher Cieri, James Fiumara, Mark Y. Liberman, Chris Callison-Burch, Jonathan Wright:
Introducing NIEUW: Novel Incentives and Workflows for Eliciting Linguistic Data. LREC 2018 - [c109]Reno Kriz, Eleni Miltsakaki, Marianna Apidianaki, Chris Callison-Burch:
Simplification Using Paraphrases and Context-Based Lexical Substitution. NAACL-HLT 2018: 207-217 - [c108]Anne Cocos, Marianna Apidianaki, Chris Callison-Burch:
Comparing Constraints for Taxonomic Organization. NAACL-HLT 2018: 323-333 - [c107]Marianna Apidianaki, Guillaume Wisniewski, Anne Cocos, Chris Callison-Burch:
Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation. NAACL-HLT (2) 2018: 480-485 - [i8]Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki:
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. CoRR abs/1810.11190 (2018) - 2017
- [j15]Ann Irvine, Chris Callison-Burch:
A Comprehensive Analysis of Bilingual Lexicon Induction. Comput. Linguistics 43(2): 273-310 (2017) - [j14]Anne Cocos, Ting Qian, Chris Callison-Burch, Aaron J. Masino:
Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation. J. Biomed. Informatics 69: 86-92 (2017) - [c106]Anietie Andy, Mark Dredze, Mugizi Rwebangira, Chris Callison-Burch:
Constructing an Alias List for Named Entities during an Event. NUT@EMNLP 2017: 40-44 - [c105]Courtney Napoles, Chris Callison-Burch:
Systematically Adapting Machine Translation for Grammatical Error Correction. BEA@EMNLP 2017: 345-356 - [c104]Anne Cocos, Chris Callison-Burch:
The Language of Place: Semantic Value from Geospatial Context. EACL (2) 2017: 99-104 - [c103]Ross Mechanic, Dean Fulgoni, Hannah Cutler, Sneha Rajana, Zheyuan Liu, Bradley Jackson, Anne Cocos, Chris Callison-Burch, Marianna Apidianaki:
KnowYourNyms? A Game of Semantic Relationships. EMNLP (System Demonstrations) 2017: 37-42 - [c102]Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch:
Learning Translations via Matrix Completion. EMNLP 2017: 1452-1463 - [c101]Sneha Rajana, Chris Callison-Burch, Marianna Apidianaki, Vered Shwartz:
Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network. *SEM 2017: 12-21 - [c100]Anne Cocos, Marianna Apidianaki, Chris Callison-Burch:
Mapping the Paraphrase Database to WordNet. *SEM 2017: 84-90 - [i7]Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme:
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 2017 - [i6]Kotaro Hara, Abi Adams, Kristy Milland, Saiph Savage, Chris Callison-Burch, Jeffrey P. Bigham:
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk. CoRR abs/1712.05796 (2017) - 2016
- [j13]Ann Irvine, Chris Callison-Burch:
End-to-end statistical machine translation with zero or small parallel texts. Nat. Lang. Eng. 22(4): 517-548 (2016) - [j12]Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, Chris Callison-Burch:
Optimizing Statistical Machine Translation for Text Simplification. Trans. Assoc. Comput. Linguistics 4: 401-415 (2016) - [c99]Ellie Pavlick, Chris Callison-Burch:
Most "babies" are "little" and most "problems" are "huge": Compositional Entailment in Adjective-Nouns. ACL (1) 2016 - [c98]Ellie Pavlick, Chris Callison-Burch:
Simple PPDB: A Paraphrase Database for Simplification. ACL (2) 2016 - [c97]Ellie Pavlick, Heng Ji, Xiaoman Pan, Chris Callison-Burch:
The Gun Violence Database: A new task and data set for NLP. EMNLP 2016: 1018-1024 - [c96]Ellie Pavlick, Chris Callison-Burch:
Tense Manages to Predict Implicative Behavior in Verbs. EMNLP 2016: 2225-2229 - [c95]Courtney Napoles, Chris Callison-Burch, Matt Post:
Sentential Paraphrasing as Black-Box Machine Translation. HLT-NAACL Demos 2016: 62-66 - [c94]Anne Cocos, Chris Callison-Burch:
Clustering Paraphrases by Word Sense. HLT-NAACL 2016: 1463-1472 - [c93]Ellie Pavlick, Chris Callison-Burch:
So-Called Non-Subsective Adjectives. *SEM@ACL 2016 - [i5]Ellie Pavlick, Chris Callison-Burch:
The Gun Violence Database. CoRR abs/1610.01670 (2016) - 2015
- [j11]Wei Xu, Chris Callison-Burch, Courtney Napoles:
Problems in Current Text Simplification Research: New Data Can Help. Trans. Assoc. Comput. Linguistics 3: 283-297 (2015) - [c92]Ellie Pavlick, Juri Ganitkevitch, Tsz Ping Chan, Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch:
Domain-Specific Paraphrase Extraction. ACL (2) 2015: 57-62 - [c91]Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, Chris Callison-Burch, Mark Dredze, Benjamin Van Durme:
FrameNet+: Fast Paraphrastic Tripling of FrameNet. ACL (2) 2015: 408-413 - [c90]Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch:
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. ACL (2) 2015: 425-430 - [c89]Ellie Pavlick, Johan Bos, Malvina Nissim, Charley Beller, Benjamin Van Durme, Chris Callison-Burch:
Adding Semantics to Data-Driven Paraphrasing. ACL (1) 2015: 1512-1522 - [c88]Anne Cocos, Aaron J. Masino, Ting Qian, Ellie Pavlick, Chris Callison-Burch:
Effectively Crowdsourcing Radiology Report Annotations. Louhi@EMNLP 2015: 109-114 - [c87]Courtney Napoles, Chris Callison-Burch:
Automatically Scoring Freshman Writing: A Preliminary Investigation. BEA@NAACL-HLT 2015: 254-263 - [c86]Ellie Pavlick, Chris Callison-Burch:
Extracting Structured Information via Automatic + Human Computation. HCOMP 2015: 26-27 - [c85]Chris Callison-Burch, Lyle H. Ungar, Ellie Pavlick:
Crowdsourcing for NLP. HLT-NAACL 2015: 2-3 - [c84]Mingkun Gao, Wei Xu, Chris Callison-Burch:
Cost Optimization in Crowdsourcing Translation: Low cost translations made even cheaper. HLT-NAACL 2015: 705-713 - [c83]Wei Xu, Chris Callison-Burch, Bill Dolan:
SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT). SemEval@NAACL-HLT 2015: 1-11 - [c82]Heba Elfardy, Mona T. Diab, Chris Callison-Burch:
Ideological Perspective Detection Using Semantic Features. *SEM@NAACL-HLT 2015: 137-146 - [e9]Lluís Màrquez, Chris Callison-Burch, Jian Su, Daniele Pighin, Yuval Marton:
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015. The Association for Computational Linguistics 2015, ISBN 978-1-941643-32-7 [contents] - [i4]Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, Chris Callison-Burch, Nathaniel Wesley Filardo, Christine D. Piatko, Lori S. Levin, Scott Miller:
Use of Modality and Negation in Semantically-Informed Syntactic MT. CoRR abs/1502.01682 (2015) - 2014
- [j10]Omar Zaidan, Chris Callison-Burch:
Arabic Dialect Identification. Comput. Linguistics 40(1): 171-202 (2014) - [j9]Ellie Pavlick, Matt Post, Ann Irvine, Dmitry Kachaev, Chris Callison-Burch:
The Language Demographics of Amazon Mechanical Turk. Trans. Assoc. Comput. Linguistics 2: 79-92 (2014) - [j8]Wei Xu, Alan Ritter, Chris Callison-Burch, William B. Dolan, Yangfeng Ji:
Extracting Lexically Divergent Paraphrases from Twitter. Trans. Assoc. Comput. Linguistics 2: 435-448 (2014) - [c81]Rui Yan, Mingkun Gao, Ellie Pavlick, Chris Callison-Burch:
Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors. ACL (1) 2014: 1134-1144 - [c80]Ann Irvine, Chris Callison-Burch:
Hallucinating Phrase Translations for Low Resource MT. CoNLL 2014: 160-170 - [c79]Ellie Pavlick, Rui Yan, Chris Callison-Burch:
Crowdsourcing for grammatical error correction. CSCW Companion 2014: 209-212 - [c78]Jonathan Weese, Juri Ganitkevitch, Chris Callison-Burch:
PARADIGM: Paraphrase Diagnostics through Grammar Matching. EACL 2014: 192-201 - [c77]Chris Callison-Burch:
Crowd-Workers: Aggregating Information Across Turkers to Help Them Find Higher Paying Work. HCOMP 2014: 8-9 - [c76]Quanze Chen, Chenyang Lei, Wei Xu, Ellie Pavlick, Chris Callison-Burch:
Poetry of the Crowd: A Human Computation Algorithm to Convert Prose into Rhyming Verse. HCOMP 2014: 10-11 - [c75]Gaurav Kumar, Yuan Cao, Ryan Cotterell, Chris Callison-Burch, Daniel Povey, Sanjeev Khudanpur:
Translations of the Callhome Egyptian Arabic corpus for conversational speech translation. IWSLT 2014 - [c74]Ryan Cotterell, Chris Callison-Burch:
A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic. LREC 2014: 241-245 - [c73]Ann Irvine, Joshua Langfus, Chris Callison-Burch:
The American Local News Corpus. LREC 2014: 1305-1308 - [c72]Juri Ganitkevitch, Chris Callison-Burch:
The Multilingual Paraphrase Database. LREC 2014: 4276-4283 - [c71]Ann Irvine, Chris Callison-Burch:
Using Comparable Corpora to Adapt MT Models to New Domains. WMT@ACL 2014: 437-444 - [i3]Kathrin Baker, Michael Bloodgood, Chris Callison-Burch, Bonnie J. Dorr, Nathaniel Wesley Filardo, Lori S. Levin, Scott Miller, Christine D. Piatko:
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach. CoRR abs/1409.7085 (2014) - [i2]Michael Bloodgood, Chris Callison-Burch:
Using Mechanical Turk to Build Machine Translation Evaluation Sets. CoRR abs/1410.5491 (2014) - [i1]Michael Bloodgood, Chris Callison-Burch:
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. CoRR abs/1410.5877 (2014) - 2013
- [j7]Adam Lopez, Matt Post, Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beaniesh Jamil, Matthias A. Lee, Ya-Ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam R. Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, Shang Zhao:
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT. Trans. Assoc. Comput. Linguistics 1: 165-178 (2013) - [c70]Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao:
PARMA: A Predicate Argument Aligner. ACL (2) 2013: 63-68 - [c69]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark:
A Lightweight and High Performance Monolingual Word Aligner. ACL (2) 2013: 702-707 - [c68]Jason R. Smith, Herve Saint-Amand, Magdalena Plamada, Philipp Koehn, Chris Callison-Burch, Adam Lopez:
Dirt Cheap Web-Scale Parallel Text from the Common Crawl. ACL (1) 2013: 1374-1383 - [c67]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark:
Semi-Markov Phrase-Based Monolingual Alignment. EMNLP 2013: 590-600 - [c66]Matt Post, Gaurav Kumar, Adam Lopez, Damianos G. Karakos, Chris Callison-Burch, Sanjeev Khudanpur:
Improved speech-to-text translation with the Fisher and Callhome Spanish-English speech translation corpus. IWSLT 2013 - [c65]Ann Irvine, Chris Callison-Burch:
Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals. HLT-NAACL 2013: 518-523 - [c64]Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch:
PPDB: The Paraphrase Database. HLT-NAACL 2013: 758-764 - [c63]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark:
Answer Extraction as Sequence Tagging with Tree Edit Distance. HLT-NAACL 2013: 858-867 - [c62]Ondrej Bojar, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia:
Findings of the 2013 Workshop on Statistical Machine Translation. WMT@ACL 2013: 1-44 - [c61]Matt Post, Juri Ganitkevitch, Luke Orland, Jonathan Weese, Yuan Cao, Chris Callison-Burch:
Joshua 5.0: Sparser, Better, Faster, Server. WMT@ACL 2013: 206-212 - [c60]Ann Irvine, Chris Callison-Burch:
Combining Bilingual and Comparable Corpora for Low Resource Machine Translation. WMT@ACL 2013: 262-270 - 2012
- [j6]Kathrin Baker, Michael Bloodgood, Bonnie J. Dorr, Chris Callison-Burch, Nathaniel Wesley Filardo, Christine D. Piatko, Lori S. Levin, Scott Miller:
Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT. Comput. Linguistics 38(2): 411-438 (2012) - [c59]Puyang Xu, Sanjeev Khudanpur, Maider Lehr, Emily Tucker Prud'hommeaux, Nathan Glenn, Damianos G. Karakos, Brian Roark, Kenji Sagae, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley:
Continuous space discriminative language modeling. ICASSP 2012: 2129-2132 - [c58]Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos G. Karakos, Sanjeev Khudanpur, Brian Roark, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley:
Hallucinated n-best lists for discriminative language modeling. ICASSP 2012: 5001-5004 - [c57]Arda Çelebi, Hasim Sak, Erinç Dikici, Murat Saraclar, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos G. Karakos, Sanjeev Khudanpur, Brian Roark, Kenji Sagae, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley:
Semi-supervised discriminative language modeling for Turkish ASR. ICASSP 2012: 5025-5028 - [c56]Damianos G. Karakos, Brian Roark, Izhak Shafran, Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Sanjeev Khudanpur, Murat Saraclar, Daniel M. Bikel, Mark Dredze, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley:
Deriving conversation-based features from unlabeled speech for discriminative language modeling. INTERSPEECH 2012: 202-205 - [c55]Rabih Zbib, Erika Malchiodi, Jacob Devlin, David Stallard, Spyros Matsoukas, Richard M. Schwartz, John Makhoul, Omar Zaidan, Chris Callison-Burch:
Machine Translation of Arabic Dialects. HLT-NAACL 2012: 49-59 - [c54]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch:
Expectations of Word Sense in Parallel Corpora. HLT-NAACL 2012: 621-625 - [c53]Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch:
Monolingual Distributional Similarity for Text-to-Text Generation. *SEM@NAACL-HLT 2012: 256-264 - [c52]Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia:
Findings of the 2012 Workshop on Statistical Machine Translation. WMT@NAACL-HLT 2012: 10-51 - [c51]Jonathan Weese, Chris Callison-Burch, Adam Lopez:
Using Categorial Grammar to Label Translation Rules. WMT@NAACL-HLT 2012: 222-231 - [c50]Juri Ganitkevitch, Yuan Cao, Jonathan Weese, Matt Post, Chris Callison-Burch:
Joshua 4.0: Packing, PRO, and Paraphrases. WMT@NAACL-HLT 2012: 283-291 - [c49]Matt Post, Chris Callison-Burch, Miles Osborne:
Constructing Parallel Corpora for Six Indian Languages via Crowdsourcing. WMT@NAACL-HLT 2012: 401-409 - [e8]Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia:
Proceedings of the Seventh Workshop on Statistical Machine Translation, WMT@NAACL-HLT 2012, June 7-8, 2012, Montréal, Canada. The Association for Computer Linguistics 2012 [contents] - 2011
- [c48]Omar Zaidan, Chris Callison-Burch:
The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content. ACL (2) 2011: 37-41 - [c47]Courtney Napoles, Chris Callison-Burch, Juri Ganitkevitch, Benjamin Van Durme:
Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion. Monolingual@ACL 2011: 84-90 - [c46]Courtney Napoles, Benjamin Van Durme, Chris Callison-Burch:
Evaluating Sentence Compression: Pitfalls and Suggested Remedies. Monolingual@ACL 2011: 91-97 - [c45]Lane Schwartz, Chris Callison-Burch, William Schuler, Stephen T. Wu:
Incremental Syntactic Language Models for Phrase-based Translation. ACL 2011: 620-631 - [c44]Omar Zaidan, Chris Callison-Burch:
Crowdsourcing Translation: Professional Quality from Non-Professionals. ACL 2011: 1220-1229 - [c43]Rui Wang, Chris Callison-Burch:
Paraphrase Fragment Extraction from Monolingual Comparable Corpora. BUCC@ACL 2011: 52-60 - [c42]Tsz Ping Chan, Chris Callison-Burch, Benjamin Van Durme:
Reranking Bilingually Extracted Paraphrases Using Monolingual Distributional Similarity. GEMS 2011: 33-42 - [c41]Juri Ganitkevitch, Chris Callison-Burch, Courtney Napoles, Benjamin Van Durme:
Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation. EMNLP 2011: 1168-1179 - [c40]Chris Callison-Burch, Philipp Koehn, Christof Monz, Omar Zaidan:
Findings of the 2011 Workshop on Statistical Machine Translation. WMT@EMNLP 2011: 22-64 - [c39]Jonathan Weese, Juri Ganitkevitch, Chris Callison-Burch, Matt Post, Adam Lopez:
Joshua 3.0: Syntax-based Machine Translation with the Thrax Grammar Extractor. WMT@EMNLP 2011: 478-484 - [e7]Chris Callison-Burch, Philipp Koehn, Christof Monz, Omar Zaidan:
Proceedings of the Sixth Workshop on Statistical Machine Translation, WMT@EMNLP 2011, Edinburgh, Scotland, UK, July 30-31, 2011. Association for Computational Linguistics 2011, ISBN 978-1-937284-12-1 [contents] - 2010
- [j5]Ann Irvine, Mike Kayser, Zhifei Li, Wren N. G. Thornton, Chris Callison-Burch:
Integrating Output from Specialized Modules in Machine TranslationTransliterations in Joshua. Prague Bull. Math. Linguistics 93: 107-116 (2010) - [j4]Jonathan Weese, Chris Callison-Burch:
Visualizing Data Structures in Parsing-Based Machine Translation. Prague Bull. Math. Linguistics 93: 127-136 (2010) - [j3]Lane Schwartz, Chris Callison-Burch:
Hierarchical Phrase-Based Grammar Extraction in JoshuaSuffix Arrays and Prefix Trees. Prague Bull. Math. Linguistics 93: 157-166 (2010) - [c38]Michael Bloodgood, Chris Callison-Burch:
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. ACL 2010: 854-864 - [c37]Kathryn Baker, Michael Bloodgood, Chris Callison-Burch, Bonnie J. Dorr, Nathaniel Wesley Filardo, Lori S. Levin, Scott Miller, Christine D. Piatko:
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach. AMTA 2010 - [c36]Ann Irvine, Chris Callison-Burch, Alexandre Klementiev:
Transliterating From All Languages. AMTA 2010 - [c35]Chris Callison-Burch, Mark Dredze:
Creating Speech and Language Data With Amazon's Mechanical Turk. Mturk@HLT-NAACL 2010: 1-12 - [c34]Scott Novotney, Chris Callison-Burch:
Crowdsourced Accessibility: Elicitation of Wikipedia Articles. Mturk@HLT-NAACL 2010: 41-44 - [c33]Rui Wang, Chris Callison-Burch:
Cheap Facts and Counter-Facts. Mturk@HLT-NAACL 2010: 163-167 - [c32]Scott Novotney, Chris Callison-Burch:
Cheap, Fast and Good Enough: Automatic Speech Recognition with Non-Expert Transcription. HLT-NAACL 2010: 207-215 - [c31]Michael Bloodgood, Chris Callison-Burch:
Using Mechanical Turk to Build Machine Translation Evaluation Sets. Mturk@HLT-NAACL 2010: 208-211 - [c30]Omar Zaidan, Chris Callison-Burch:
Predicting Human-Targeted Translation Edit Rate via Untrained Human Annotators. HLT-NAACL 2010: 369-372 - [c29]Abby D. Levenberg, Chris Callison-Burch, Miles Osborne:
Stream-based Translation Models for Statistical Machine Translation. HLT-NAACL 2010: 394-402 - [c28]Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Mark A. Przybocki, Omar Zaidan:
Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation. WMT@ACL 2010: 17-53 - [c27]Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri Ganitkevitch, Ann Irvine, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Ziyuan Wang, Jonathan Weese, Omar Zaidan:
Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies. WMT@ACL 2010: 133-137 - [e6]Chris Callison-Burch, Mark Dredze:
Proceedings of the 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, Los Angeles, USA, June 6, 2010. Association for Computational Linguistics 2010 [contents] - [e5]Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Omar Zaidan:
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, WMT@ACL 2010, Uppsala, Sweden, July 15-16, 2010. Association for Computational Linguistics 2010, ISBN 978-1-932432-71-8 [contents]
2000 – 2009
- 2009
- [j2]Zhifei Li, Chris Callison-Burch, Sanjeev Khudanpur, Wren N. G. Thornton:
Decoding in JoshuaOpen Source, Parsing-Based Machine Translation. Prague Bull. Math. Linguistics 91: 47-56 (2009) - [c26]Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri Ganitkevitch, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Jonathan Weese, Omar Zaidan:
Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation. ACL/IJCNLP (Software Demonstrations) 2009: 25-28 - [c25]Nikesh Garera, Chris Callison-Burch, David Yarowsky:
Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences. CoNLL 2009: 129-137 - [c24]Omar Zaidan, Chris Callison-Burch:
Feasibility of Human-in-the-loop Minimum Error Rate Training. EMNLP 2009: 52-61 - [c23]Chris Callison-Burch:
Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk. EMNLP 2009: 286-295 - [c22]Yuval Marton, Chris Callison-Burch, Philip Resnik:
Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases. EMNLP 2009: 381-390 - [c21]Chris Callison-Burch, Philipp Koehn, Christof Monz, Josh Schroeder:
Findings of the 2009 Workshop on Statistical Machine Translation. WMT@EACL 2009: 1-28 - [c20]Zhifei Li, Chris Callison-Burch, Chris Dyer, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Jonathan Weese, Omar Zaidan:
Joshua: An Open Source Toolkit for Parsing-Based Machine Translation. WMT@EACL 2009: 135-139 - [e4]Chris Callison-Burch, Ido Dagan, Christopher D. Manning, Marco Pennacchiotti, Fabio Massimo Zanzotto:
Proceedings of the 2009 Workshop on Applied Textual Inference, TextInfer@ACL 2009, Suntec, Singapore, August 6, 2009. Association for Computational Linguistics 2009, ISBN 978-1-932432-48-0 [contents] - [e3]Chris Callison-Burch, Philipp Koehn, Christof Monz, Josh Schroeder:
Proceedings of the Fourth Workshop on Statistical Machine Translation, WMT@EACL 2009, Athens, Greece, March 30-31, 2009. Association for Computational Linguistics 2009 [contents] - 2008
- [j1]Trevor Cohn, Chris Callison-Burch, Mirella Lapata:
Constructing Corpora for the Development and Evaluation of Paraphrase Systems. Comput. Linguistics 34(4): 597-614 (2008) - [c19]Chris Callison-Burch, Trevor Cohn, Mirella Lapata:
ParaMetric: An Automatic Evaluation Metric for Paraphrasing. COLING 2008: 97-104 - [c18]Chris Callison-Burch:
Syntactic Constraints on Paraphrases Extracted from Parallel Corpora. EMNLP 2008: 196-205 - [c17]Chris Callison-Burch, Cameron S. Fordyce, Philipp Koehn, Christof Monz, Josh Schroeder:
Further Meta-Evaluation of Machine Translation. WMT@ACL 2008: 70-106 - [e2]Chris Callison-Burch, Philipp Koehn, Christof Monz, Josh Schroeder, Cameron S. Fordyce:
Proceedings of the Third Workshop on Statistical Machine Translation, WMT@ACL 2008, Columbus, Ohio, USA, June 19, 2008. Association for Computational Linguistics 2008, ISBN 978-1-932432-09-1 [contents] - 2007
- [c16]Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, Evan Herbst:
Moses: Open Source Toolkit for Statistical Machine Translation. ACL 2007 - [c15]Chris Callison-Burch, Cameron S. Fordyce, Philipp Koehn, Christof Monz, Josh Schroeder:
(Meta-) Evaluation of Machine Translation. WMT@ACL 2007: 136-158 - [e1]Chris Callison-Burch, Philipp Koehn, Cameron S. Fordyce, Christof Monz:
Proceedings of the Second Workshop on Statistical Machine Translation, WMT@ACL 2007, Prague, Czech Republic, June 23, 2007. Association for Computational Linguistics 2007 [contents] - 2006
- [c14]Alexandra Birch, Chris Callison-Burch, Miles Osborne:
Constraining the Phrase-Based, Joint Probability Statistical Translation Model. AMTA 2006: 10-18 - [c13]Wauter Bosma, Chris Callison-Burch:
Paraphrase Substitution for Recognizing Textual Entailment. CLEF 2006: 502-509 - [c12]Wauter Bosma, Chris Callison-Burch:
Paraphrase Substitution for Recognizing Textual Entailment. CLEF (Working Notes) 2006 - [c11]Chris Callison-Burch, Miles Osborne, Philipp Koehn:
Re-evaluation the Role of Bleu in Machine Translation Research. EACL 2006 - [c10]Chris Callison-Burch, Philipp Koehn, Miles Osborne:
Improved Statistical Machine Translation Using Paraphrases. HLT-NAACL 2006 - [c9]Alexandra Birch, Chris Callison-Burch, Miles Osborne, Philipp Koehn:
Constraining the Phrase-Based, Joint Probability Statistical Translation Model. WMT@HLT-NAACL 2006: 154-157 - 2005
- [c8]Chris Callison-Burch, Colin J. Bannard, Josh Schroeder:
Scaling Phrase-Based Statistical Machine Translation to Larger Corpora and Longer Phrases. ACL 2005: 255-262 - [c7]Colin J. Bannard, Chris Callison-Burch:
Paraphrasing with Bilingual Parallel Corpora. ACL 2005: 597-604 - [c6]Chris Callison-Burch, Colin J. Bannard, Josh Schroeder:
A compact data structure for searchable translation memories. EAMT 2005 - [c5]Philipp Koehn, Amittai Axelrod, Alexandra Birch, Chris Callison-Burch, Miles Osborne, David Talbot:
Edinburgh system description for the 2005 IWSLT speech translation evaluation. IWSLT 2005: 68-75 - 2004
- [c4]Chris Callison-Burch, David Talbot, Miles Osborne:
Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora. ACL 2004: 175-182 - [c3]Chris Callison-Burch, Colin J. Bannard, Josh Schroeder:
Improving statistical translation through editing. EAMT 2004 - 2003
- [c2]Chris Callison-Burch, Miles Osborne:
Bootstrapping Parallel Corpora. ParallelTexts@NAACL-HLT 2003 - 2001
- [c1]Chris Callison-Burch, Raymond S. Flournoy:
A program for automatically selecting the best output from multiple machine translation engines. MTSummit 2001
Coauthor Index
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