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ORCIDChris Callison-Burch
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- affiliation: University of Pennsylvania, Philadelphia, PA, USA
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2020 – today
- 2023
[j18]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)- [c147]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 - [c146]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 - [i55]Li Zhang, Chris Callison-Burch:
Language Models are Drummers: Drum Composition with Natural Language Pre-Training. CoRR abs/2301.01162 (2023) - [i54]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) - [i53]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) - [i52]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) - [i51]Bryan Li, Chris Callison-Burch:
PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale. CoRR abs/2304.12206 (2023) - [i50]Li Zhang, Liam Dugan, Hainiu Xu, Chris Callison-Burch:
Exploring the Curious Case of Code Prompts. CoRR abs/2304.13250 (2023) - [i49]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) - [i48]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) - [i47]Ajay Patel, Delip Rao, Chris Callison-Burch:
Learning Interpretable Style Embeddings via Prompting LLMs. CoRR abs/2305.12696 (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 - [i46]Bryan Li, Lara J. Martin, Chris Callison-Burch:
CIS2: A Simplified Commonsense Inference Evaluation for Story Prose. CoRR abs/2202.07880 (2022) - [i45]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) - [i44]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) - [i43]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) - [i42]Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle Ungar, João Sedoc:
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. CoRR abs/2205.12698 (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 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 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 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]