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ORCIDChristopher D. Manning
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- affiliation: Stanford University, Department of Computer Science
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2020 – today
- 2022
[i82]Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec:
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. CoRR abs/2201.08860 (2022)- [i81]Yibing Du, Antoine Bosselut, Christopher D. Manning:
Synthetic Disinformation Attacks on Automated Fact Verification Systems. CoRR abs/2202.09381 (2022) - 2021
- [j20]Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, Daniel Zeman:
Universal Dependencies. Comput. Linguistics 47(2): 255-308 (2021) - [j19]Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz:
Biomedical and clinical English model packages for the Stanza Python NLP library. J. Am. Medical Informatics Assoc. 28(9): 1892-1899 (2021) - [c264]Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning:
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. ACL/IJCNLP (1) 2021: 7265-7281 - [c263]John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning:
Conditional probing: measuring usable information beyond a baseline. EMNLP (1) 2021: 1626-1639 - [c262]Yuta Koreeda, Christopher D. Manning:
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts. EMNLP (Findings) 2021: 1907-1919 - [c261]Peng Qi, Haejun Lee, Tg Sido, Christopher D. Manning:
Answering Open-Domain Questions of Varying Reasoning Steps from Text. EMNLP (1) 2021: 3599-3614 - [c260]Ashwin Paranjape, Christopher D. Manning:
Human-like informative conversations: Better acknowledgements using conditional mutual information. NAACL-HLT 2021: 768-781 - [c259]Shikhar Murty, Tatsunori Hashimoto, Christopher D. Manning:
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference. NAACL-HLT 2021: 1113-1125 - [c258]Abigail See, Christopher D. Manning:
Understanding and predicting user dissatisfaction in a neural generative chatbot. SIGDIAL 2021: 1-12 - [c257]Amelia Hardy, Ashwin Paranjape, Christopher D. Manning:
Effective Social Chatbot Strategies for Increasing User Initiative. SIGDIAL 2021: 99-110 - [c256]Haojun Li, Dilara Soylu, Christopher D. Manning:
Large-Scale Quantitative Evaluation of Dialogue Agents' Response Strategies against Offensive Users. SIGDIAL 2021: 556-561 - [i80]Ashwin Paranjape, Christopher D. Manning:
Human-like informative conversations: Better acknowledgements using conditional mutual information. CoRR abs/2104.07831 (2021) - [i79]Yuta Koreeda, Christopher D. Manning:
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser. CoRR abs/2105.00150 (2021) - [i78]Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning:
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. CoRR abs/2107.02331 (2021) - [i77]Kaylee Burns, Christopher D. Manning, Li Fei-Fei:
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning. CoRR abs/2107.09285 (2021) - [i76]John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning:
Conditional probing: measuring usable information beyond a baseline. CoRR abs/2109.09234 (2021) - [i75]Yuta Koreeda, Christopher D. Manning:
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts. CoRR abs/2110.01799 (2021) - [i74]Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning:
Hindsight: Posterior-guided training of retrievers for improved open-ended generation. CoRR abs/2110.07752 (2021) - [i73]Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning:
Fast Model Editing at Scale. CoRR abs/2110.11309 (2021) - [i72]Haejun Lee, Akhil Kedia, Jongwon Lee, Ashwin Paranjape, Christopher D. Manning, Kyoung-Gu Woo:
You Only Need One Model for Open-domain Question Answering. CoRR abs/2112.07381 (2021) - 2020
- [j18]Christopher D. Manning
, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy:
Emergent linguistic structure in artificial neural networks trained by self-supervision. Proc. Natl. Acad. Sci. USA 117(48): 30046-30054 (2020) - [c255]Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning:
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. ACL (demo) 2020: 101-108 - [c254]Kaustubh D. Dhole, Christopher D. Manning:
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation. ACL 2020: 752-765 - [c253]Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz:
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. ACL 2020: 5108-5120 - [c252]Ethan A. Chi, John Hewitt, Christopher D. Manning:
Finding Universal Grammatical Relations in Multilingual BERT. ACL 2020: 5564-5577 - [c251]Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning:
The EOS Decision and Length Extrapolation. BlackboxNLP@EMNLP 2020: 276-291 - [c250]Peng Qi, Yuhao Zhang, Christopher D. Manning:
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations. EMNLP (Findings) 2020: 25-40 - [c249]Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
Pre-Training Transformers as Energy-Based Cloze Models. EMNLP (1) 2020: 285-294 - [c248]Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning:
SLM: Learning a Discourse Language Representation with Sentence Unshuffling. EMNLP (1) 2020: 1551-1562 - [c247]John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning:
RNNs can generate bounded hierarchical languages with optimal memory. EMNLP (1) 2020: 1978-2010 - [c246]Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. ICLR 2020 - [c245]Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajic, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis M. Tyers, Daniel Zeman:
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. LREC 2020: 4034-4043 - [i71]Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning:
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. CoRR abs/2003.07082 (2020) - [i70]Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. CoRR abs/2003.10555 (2020) - [i69]Daniel Ramage, Christopher D. Manning, Daniel A. McFarland:
Mapping Three Decades of Intellectual Change in Academia. CoRR abs/2004.01291 (2020) - [i68]Kaustubh D. Dhole, Christopher D. Manning:
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation. CoRR abs/2004.08694 (2020) - [i67]Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajic, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis M. Tyers, Daniel Zeman:
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. CoRR abs/2004.10643 (2020) - [i66]Peng Qi, Yuhao Zhang, Christopher D. Manning:
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations. CoRR abs/2004.14530 (2020) - [i65]Ethan A. Chi, John Hewitt, Christopher D. Manning:
Finding Universal Grammatical Relations in Multilingual BERT. CoRR abs/2005.04511 (2020) - [i64]Harm de Vries, Dzmitry Bahdanau, Christopher D. Manning:
Towards Ecologically Valid Research on Language User Interfaces. CoRR abs/2007.14435 (2020) - [i63]Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz:
Biomedical and Clinical English Model Packages in the Stanza Python NLP Library. CoRR abs/2007.14640 (2020) - [i62]Ashwin Paranjape, Abigail See, Kathleen Kenealy, Haojun Li, Amelia Hardy, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Christopher D. Manning:
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations. CoRR abs/2008.12348 (2020) - [i61]Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz:
Contrastive Learning of Medical Visual Representations from Paired Images and Text. CoRR abs/2010.00747 (2020) - [i60]Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning:
The EOS Decision and Length Extrapolation. CoRR abs/2010.07174 (2020) - [i59]John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning:
RNNs can generate bounded hierarchical languages with optimal memory. CoRR abs/2010.07515 (2020) - [i58]Peng Qi, Haejun Lee, Oghenetegiri "TG" Sido, Christopher D. Manning:
Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text. CoRR abs/2010.12527 (2020) - [i57]Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning:
SLM: Learning a Discourse Language Representation with Sentence Unshuffling. CoRR abs/2010.16249 (2020) - [i56]Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
Pre-Training Transformers as Energy-Based Cloze Models. CoRR abs/2012.08561 (2020)
2010 – 2019
- 2019
- [j17]Siva Reddy, Danqi Chen, Christopher D. Manning:
CoQA: A Conversational Question Answering Challenge. Trans. Assoc. Comput. Linguistics 7: 249-266 (2019) - [c244]Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le:
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. ACL (1) 2019: 5931-5937 - [c243]Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning:
What Does BERT Look at? An Analysis of BERT's Attention. BlackboxNLP@ACL 2019: 276-286 - [c242]Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning:
Do Massively Pretrained Language Models Make Better Storytellers? CoNLL 2019: 843-861 - [c241]Drew A. Hudson, Christopher D. Manning:
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering. CVPR 2019: 6700-6709 - [c240]Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning:
Answering Complex Open-domain Questions Through Iterative Query Generation. EMNLP/IJCNLP (1) 2019: 2590-2602 - [c239]John Hewitt, Christopher D. Manning:
A Structural Probe for Finding Syntax in Word Representations. NAACL-HLT (1) 2019: 4129-4138 - [c238]Drew A. Hudson, Christopher D. Manning:
Learning by Abstraction: The Neural State Machine. NeurIPS 2019: 5901-5914 - [i55]Peng Qi, Timothy Dozat, Yuhao Zhang, Christopher D. Manning:
Universal Dependency Parsing from Scratch. CoRR abs/1901.10457 (2019) - [i54]Drew A. Hudson, Christopher D. Manning:
GQA: a new dataset for compositional question answering over real-world images. CoRR abs/1902.09506 (2019) - [i53]Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning:
What Does BERT Look At? An Analysis of BERT's Attention. CoRR abs/1906.04341 (2019) - [i52]Drew A. Hudson, Christopher D. Manning:
Learning by Abstraction: The Neural State Machine. CoRR abs/1907.03950 (2019) - [i51]Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le:
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. CoRR abs/1907.04829 (2019) - [i50]Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning:
Do Massively Pretrained Language Models Make Better Storytellers? CoRR abs/1909.10705 (2019) - [i49]Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning:
Answering Complex Open-domain Questions Through Iterative Query Generation. CoRR abs/1910.07000 (2019) - [i48]Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz:
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. CoRR abs/1911.02541 (2019) - 2018
- [c237]Timothy Dozat, Christopher D. Manning:
Simpler but More Accurate Semantic Dependency Parsing. ACL (2) 2018: 484-490 - [c236]Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz:
Learning to Summarize Radiology Findings. Louhi@EMNLP 2018: 204-213 - [c235]Peng Qi, Timothy Dozat, Yuhao Zhang, Christopher D. Manning:
Universal Dependency Parsing from Scratch. CoNLL Shared Task (2) 2018: 160-170 - [c234]Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. EMNLP 2018: 82-92 - [c233]Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le:
Semi-Supervised Sequence Modeling with Cross-View Training. EMNLP 2018: 1914-1925 - [c232]Yuhao Zhang, Peng Qi, Christopher D. Manning:
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. EMNLP 2018: 2205-2215 - [c231]Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. EMNLP 2018: 2369-2380 - [c230]Drew A. Hudson, Christopher D. Manning:
Compositional Attention Networks for Machine Reasoning. ICLR (Poster) 2018 - [c229]Sebastian Schuster, Joakim Nivre, Christopher D. Manning:
Sentences with Gapping: Parsing and Reconstructing Elided Predicates. NAACL-HLT 2018: 1156-1168 - [i47]Drew A. Hudson, Christopher D. Manning:
Compositional Attention Networks for Machine Reasoning. CoRR abs/1803.03067 (2018) - [i46]Sebastian Schuster, Joakim Nivre, Christopher D. Manning:
Sentences with Gapping: Parsing and Reconstructing Elided Predicates. CoRR abs/1804.06922 (2018) - [i45]Timothy Dozat, Christopher D. Manning:
Simpler but More Accurate Semantic Dependency Parsing. CoRR abs/1807.01396 (2018) - [i44]Siva Reddy, Danqi Chen, Christopher D. Manning:
CoQA: A Conversational Question Answering Challenge. CoRR abs/1808.07042 (2018) - [i43]Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. CoRR abs/1809.02700 (2018) - [i42]Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz:
Learning to Summarize Radiology Findings. CoRR abs/1809.04698 (2018) - [i41]Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le:
Semi-Supervised Sequence Modeling with Cross-View Training. CoRR abs/1809.08370 (2018) - [i40]Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. CoRR abs/1809.09600 (2018) - [i39]Yuhao Zhang, Peng Qi, Christopher D. Manning:
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. CoRR abs/1809.10185 (2018) - 2017
- [c228]Peng Qi, Christopher D. Manning:
Arc-swift: A Novel Transition System for Dependency Parsing. ACL (2) 2017: 110-117 - [c227]Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning:
Naturalizing a Programming Language via Interactive Learning. ACL (1) 2017: 929-938 - [c226]Abigail See, Peter J. Liu, Christopher D. Manning:
Get To The Point: Summarization with Pointer-Generator Networks. ACL (1) 2017: 1073-1083 - [c225]Sebastian Schuster, Matthew Lamm, Christopher D. Manning:
Gapping Constructions in Universal Dependencies v2. UDW@NoDaLiDa 2017: 123-132 - [c224]Daniel Zeman, Martin Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis M. Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajic Jr., Jaroslava Hlavácová, Václava Kettnerová, Zdenka Uresová, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, Héctor Martínez Alonso, Çagri Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali El-Kahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonça, Tatiana Lando, Rattima Nitisaroj, Josie Li:
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. CoNLL Shared Task (2) 2017: 1-19 - [c223]Timothy Dozat, Peng Qi, Christopher D. Manning:
Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. CoNLL Shared Task (2) 2017: 20-30 - [c222]Mihail Eric, Christopher D. Manning:
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue. EACL (2) 2017: 468-473 - [c221]Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning:
Position-aware Attention and Supervised Data Improve Slot Filling. EMNLP 2017: 35-45 - [c220]Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning:
Importance sampling for unbiased on-demand evaluation of knowledge base population. EMNLP 2017: 1038-1048 - [c219]Timothy Dozat, Christopher D. Manning:
Deep Biaffine Attention for Neural Dependency Parsing. ICLR (Poster) 2017 - [c218]Mihail Eric, Lakshmi Krishnan, François Charette, Christopher D. Manning:
Key-Value Retrieval Networks for Task-Oriented Dialogue. SIGDIAL Conference 2017: 37-49 - [i38]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 - [i37]Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, Christopher D. Manning:
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. TAC 2017 - [i36]Mihail Eric, Christopher D. Manning:
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue. CoRR abs/1701.04024 (2017) - [i35]Angel X. Chang, Mihail Eric, Manolis Savva, Christopher D. Manning:
SceneSeer: 3D Scene Design with Natural Language. CoRR abs/1703.00050 (2017) - [i34]Abigail See, Peter J. Liu, Christopher D. Manning:
Get To The Point: Summarization with Pointer-Generator Networks. CoRR abs/1704.04368 (2017) - [i33]Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning:
Naturalizing a Programming Language via Interactive Learning. CoRR abs/1704.06956 (2017) - [i32]Peng Qi, Christopher D. Manning:
Arc-swift: A Novel Transition System for Dependency Parsing. CoRR abs/1705.04434 (2017) - [i31]Mihail Eric, Christopher D. Manning:
Key-Value Retrieval Networks for Task-Oriented Dialogue. CoRR abs/1705.05414 (2017) - 2016
- [c217]Gabor Angeli, Neha Nayak, Christopher D. Manning:
Combining Natural Logic and Shallow Reasoning for Question Answering. ACL (1) 2016 - [c216]Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, Christopher Potts:
A Fast Unified Model for Parsing and Sentence Understanding. ACL (1) 2016 - [c215]Danqi Chen, Jason Bolton, Christopher D. Manning:
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task. ACL (1) 2016 - [c214]Kevin Clark, Christopher D. Manning:
Improving Coreference Resolution by Learning Entity-Level Distributed Representations. ACL (1) 2016 - [c213]Minh-Thang Luong, Christopher D. Manning:
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. ACL (1) 2016 - [c212]Sida I. Wang, Percy Liang, Christopher D. Manning:
Learning Language Games through Interaction. ACL (1) 2016 - [c211]Abigail See, Minh-Thang Luong, Christopher D. Manning:
Compression of Neural Machine Translation Models via Pruning. CoNLL 2016: 291-301 - [c210]Kevin Clark, Christopher D. Manning:
Deep Reinforcement Learning for Mention-Ranking Coreference Models. EMNLP 2016: 2256-2262 - [c209]Angel X. Chang, Valentin I. Spitkovsky, Christopher D. Manning, Eneko Agirre:
A comparison of Named-Entity Disambiguation and Word Sense Disambiguation. LREC 2016 - [c208]Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajic, Christopher D. Manning, Ryan T. McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, Daniel Zeman:
Universal Dependencies v1: A Multilingual Treebank Collection. LREC 2016 - [c207]Sebastian Schuster, Christopher D. Manning:
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks. LREC 2016 - [c206]Neha Nayak, Gabor Angeli, Christopher D. Manning:
Evaluating Word Embeddings Using a Representative Suite of Practical Tasks. RepEval@ACL 2016: 19-23 - [c205]Christopher D. Manning:
Understanding Human Language: Can NLP and Deep Learning Help? SIGIR 2016: 1 - [i30]Yuhao Zhang, Arun Tejasvi Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi, Christopher D. Manning:
Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. TAC 2016 - [i29]Angel X. Chang, Valentin I. Spitkovsky, Christopher D. Manning, Eneko Agirre:
Evaluating the word-expert approach for Named-Entity Disambiguation. CoRR abs/1603.04767 (2016) - [i28]Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, Christopher Potts:
A Fast Unified Model for Parsing and Sentence Understanding. CoRR abs/1603.06021 (2016) - [i27]Minh-Thang Luong, Christopher D. Manning:
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. CoRR abs/1604.00788 (2016) - [i26]Kevin Clark, Christopher D. Manning:
Improving Coreference Resolution by Learning Entity-Level Distributed Representations. CoRR abs/1606.01323 (2016) - [i25]Sida I. Wang, Percy Liang, Christopher D. Manning:
Learning Language Games through Interaction. CoRR abs/1606.02447 (2016) - [i24]