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2020 – today
- 2023
[c57]Erika Petersen, Christopher Potts:
Lexical Semantics with Large Language Models: A Case Study of English "break". EACL (Findings) 2023: 490-511- [i62]Atticus Geiger, Christopher Potts, Thomas Icard:
Causal Abstraction for Faithful Model Interpretation. CoRR abs/2301.04709 (2023) - [i61]Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md. Arafat Sultan, Christopher Potts:
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. CoRR abs/2303.00807 (2023) - [i60]Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman:
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CoRR abs/2303.02536 (2023) - [i59]Zhengxuan Wu, Christopher D. Manning, Christopher Potts:
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation. CoRR abs/2303.13716 (2023) - [i58]Zhengxuan Wu, Atticus Geiger, Christopher Potts, Noah D. Goodman:
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. CoRR abs/2305.08809 (2023) - [i57]Elisa Kreiss, Krishna Srinivasan, Tiziano Piccardi, Jesus Adolfo Hermosillo, Cynthia L. Bennett, Michael S. Bernstein, Meredith Ringel Morris, Christopher Potts:
Characterizing Image Accessibility on Wikipedia across Languages. CoRR abs/2305.09038 (2023) - 2022
- [c56]Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia:
PLAID: An Efficient Engine for Late Interaction Retrieval. CIKM 2022: 1747-1756 - [c55]Siyan Li, Riley Carlson, Christopher Potts:
Systematicity in GPT-3's Interpretation of Novel English Noun Compounds. EMNLP (Findings) 2022: 717-728 - [c54]Elisa Kreiss, Fei Fang, Noah D. Goodman, Christopher Potts:
Concadia: Towards Image-Based Text Generation with a Purpose. EMNLP 2022: 4667-4684 - [c53]Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts:
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics. EMNLP 2022: 4685-4697 - [c52]Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning:
Hindsight: Posterior-guided training of retrievers for improved open-ended generation. ICLR 2022 - [c51]Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts:
Inducing Causal Structure for Interpretable Neural Networks. ICML 2022: 7324-7338 - [c50]Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia:
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. NAACL-HLT 2022: 3715-3734 - [c49]Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman:
Causal Distillation for Language Models. NAACL-HLT 2022: 4288-4295 - [c48]Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu:
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. NeurIPS 2022 - [c47]Zhengxuan Wu, Nelson F. Liu, Christopher Potts:
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. RepL4NLP@ACL 2022: 100-110 - [i56]Fei Fang, Kunal Sinha, Noah D. Goodman, Christopher Potts, Elisa Kreiss:
Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning. CoRR abs/2205.09172 (2022) - [i55]Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia:
PLAID: An Efficient Engine for Late Interaction Retrieval. CoRR abs/2205.09707 (2022) - [i54]Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts:
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics. CoRR abs/2205.10646 (2022) - [i53]Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu:
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. CoRR abs/2205.14140 (2022) - [i52]Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts:
Causal Proxy Models for Concept-Based Model Explanations. CoRR abs/2209.14279 (2022) - [i51]Siyan Li, Riley Carlson, Christopher Potts:
Systematicity in GPT-3's Interpretation of Novel English Noun Compounds. CoRR abs/2210.09492 (2022) - [i50]Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avirup Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts:
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. CoRR abs/2212.01340 (2022) - [i49]Daniel N. Sosa, Malavika Suresh, Christopher Potts, Russ B. Altman:
Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature. CoRR abs/2212.09867 (2022) - [i48]Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts:
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. CoRR abs/2212.09897 (2022) - [i47]Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, Matei Zaharia:
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP. CoRR abs/2212.14024 (2022) - 2021
- [j8]Robert West
, Jure Leskovec, Christopher Potts:
Postmortem memory of public figures in news and social media. Proc. Natl. Acad. Sci. USA 118(38): e2106152118 (2021) - [j7]Omar Khattab, Christopher Potts, Matei Zaharia:
Relevance-guided Supervision for OpenQA with ColBERT. Trans. Assoc. Comput. Linguistics 9: 929-944 (2021) - [c46]Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela:
DynaSent: A Dynamic Benchmark for Sentiment Analysis. ACL/IJCNLP (1) 2021: 2388-2404 - [c45]Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams:
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT 2021: 4110-4124 - [c44]Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts:
Causal Abstractions of Neural Networks. NeurIPS 2021: 9574-9586 - [c43]Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela:
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. NeurIPS 2021: 10351-10367 - [c42]Josh Rozner, Christopher Potts, Kyle Mahowald:
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP. NeurIPS 2021: 11409-11421 - [c41]Omar Khattab, Christopher Potts, Matei A. Zaharia:
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval. NeurIPS 2021: 27670-27682 - [c40]Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts:
ReaSCAN: Compositional Reasoning in Language Grounding. NeurIPS Datasets and Benchmarks 2021 - [i46]Omar Khattab, Christopher Potts, Matei Zaharia:
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval. CoRR abs/2101.00436 (2021) - [i45]Robert West, Jure Leskovec, Christopher Potts:
Post-mortem memory of public figures in news and social media. CoRR abs/2103.15497 (2021) - [i44]Elisa Kreiss, Noah D. Goodman, Christopher Potts:
Concadia: Tackling image accessibility with context. CoRR abs/2104.08376 (2021) - [i43]Zhengxuan Wu, Nelson F. Liu, Christopher Potts:
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. CoRR abs/2104.08410 (2021) - [i42]Josh Rozner, Christopher Potts, Kyle Mahowald:
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP. CoRR abs/2104.08620 (2021) - [i41]Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams:
Dynabench: Rethinking Benchmarking in NLP. CoRR abs/2104.14337 (2021) - [i40]Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts:
Causal Abstractions of Neural Networks. CoRR abs/2106.02997 (2021) - [i39]Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela:
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. CoRR abs/2106.06052 (2021) - [i38]Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts:
ReaSCAN: Compositional Reasoning in Language Grounding. CoRR abs/2109.08994 (2021) - [i37]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) - [i36]Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts:
Inducing Causal Structure for Interpretable Neural Networks. CoRR abs/2112.00826 (2021) - [i35]Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia:
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. CoRR abs/2112.01488 (2021) - [i34]Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman:
Causal Distillation for Language Models. CoRR abs/2112.02505 (2021) - 2020
- [c39]Atticus Geiger, Kyle Richardson, Christopher Potts:
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation. BlackboxNLP@EMNLP 2020: 163-173 - [c38]Atticus Geiger, Alexandra Carstensen, Michael C. Frank, Christopher Potts:
Relational reasoning and generalization using non-symbolic neural networks. CogSci 2020 - [c37]Elisa Kreiss, Zijian Wang, Christopher Potts:
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives. CoNLL 2020: 56-68 - [c36]Allen Nie, Reuben Cohn-Gordon, Christopher Potts:
Pragmatic Issue-Sensitive Image Captioning. EMNLP (Findings) 2020: 1924-1938 - [c35]Emrah Budur, Riza Özçelik, Tunga Gungor, Christopher Potts:
Data and Representation for Turkish Natural Language Inference. EMNLP (1) 2020: 8253-8267 - [i33]Allen Nie, Reuben Cohn-Gordon, Christopher Potts:
Pragmatic Issue-Sensitive Image Captioning. CoRR abs/2004.14451 (2020) - [i32]Atticus Geiger, Kyle Richardson, Christopher Potts:
Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models. CoRR abs/2004.14623 (2020) - [i31]Emrah Budur, Riza Özçelik, Tunga Güngör, Christopher Potts:
Use of Machine Translation to Obtain Labeled Datasets for Resource-Constrained Languages. CoRR abs/2004.14963 (2020) - [i30]Atticus Geiger, Alexandra Carstensen, Michael C. Frank, Christopher Potts:
Relational reasoning and generalization using non-symbolic neural networks. CoRR abs/2006.07968 (2020) - [i29]Elisa Kreiss, Zijian Wang, Christopher Potts:
Modeling subjective assessments of guilt in newspaper crime narratives. CoRR abs/2006.09589 (2020) - [i28]Omar Khattab, Christopher Potts, Matei Zaharia:
Relevance-guided Supervision for OpenQA with ColBERT. CoRR abs/2007.00814 (2020) - [i27]Graham Todd, Shane Steinert-Threlkeld, Christopher Potts:
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents. CoRR abs/2012.04107 (2020) - [i26]Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela:
DynaSent: A Dynamic Benchmark for Sentiment Analysis. CoRR abs/2012.15349 (2020)
2010 – 2019
- 2019
- [c34]Zijian Wang, Christopher Potts:
TalkDown: A Corpus for Condescension Detection in Context. EMNLP/IJCNLP (1) 2019: 3709-3717 - [c33]Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts:
Posing Fair Generalization Tasks for Natural Language Inference. EMNLP/IJCNLP (1) 2019: 4484-4494 - [c32]Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen:
Recursive Routing Networks: Learning to Compose Modules for Language Understanding. NAACL-HLT (1) 2019: 3631-3648 - [i25]Bruno Godefroy, Christopher Potts:
Modeling Drug-Disease Relations with Linguistic and Knowledge Graph Constraints. CoRR abs/1904.00313 (2019) - [i24]Benjamin Newman, Reuben Cohn-Gordon, Christopher Potts:
Communication-based Evaluation for Natural Language Generation. CoRR abs/1909.07290 (2019) - [i23]Zijian Wang, Christopher Potts:
TalkDown: A Corpus for Condescension Detection in Context. CoRR abs/1909.11272 (2019) - [i22]Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts:
Posing Fair Generalization Tasks for Natural Language Inference. CoRR abs/1911.00811 (2019) - 2018
- [j6]Sameer B. Srivastava, Amir Goldberg, V. Govind Manian, Christopher Potts:
Enculturation Trajectories: Language, Cultural Adaptation, and Individual Outcomes in Organizations. Manag. Sci. 64(3): 1348-1364 (2018) - [c31]Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts:
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations. COLING 2018: 2423-2436 - [c30]Y. Alex Kolchinski, Christopher Potts:
Representing Social Media Users for Sarcasm Detection. EMNLP 2018: 1115-1121 - [c29]Nicholas Dingwall, Christopher Potts:
Mittens: an Extension of GloVe for Learning Domain-Specialized Representations. NAACL-HLT (2) 2018: 212-217 - [c28]Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts:
Pragmatically Informative Image Captioning with Character-Level Inference. NAACL-HLT (2) 2018: 439-443 - [c27]Will Monroe, Jennifer Hu, Andrew Jong, Christopher Potts:
Generating Bilingual Pragmatic Color References. NAACL-HLT 2018: 2155-2165 - [i21]Will Monroe, Jennifer Hu, Andrew Jong, Christopher Potts:
Generating Bilingual Pragmatic Color References. CoRR abs/1803.03917 (2018) - [i20]Nicholas Dingwall, Christopher Potts:
Mittens: An Extension of GloVe for Learning Domain-Specialized Representations. CoRR abs/1803.09901 (2018) - [i19]Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts:
Pragmatically Informative Image Captioning with Character-Level Reference. CoRR abs/1804.05417 (2018) - [i18]Y. Alex Kolchinski, Christopher Potts:
Representing Social Media Users for Sarcasm Detection. CoRR abs/1808.08470 (2018) - [i17]Christopher Potts:
A case for deep learning in semantics. CoRR abs/1809.03068 (2018) - [i16]Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts:
An Incremental Iterated Response Model of Pragmatics. CoRR abs/1810.00367 (2018) - [i15]Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts:
Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences. CoRR abs/1810.13033 (2018) - [i14]Yifeng Tao, Bruno Godefroy, Guillaume Genthial, Christopher Potts:
Effective Feature Representation for Clinical Text Concept Extraction. CoRR abs/1811.00070 (2018) - 2017
- [j5]Will Monroe, Robert X. D. Hawkins, Noah D. Goodman, Christopher Potts:
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding. Trans. Assoc. Comput. Linguistics 5: 325-338 (2017) - [i13]Will Monroe, Robert X. D. Hawkins, Noah D. Goodman, Christopher Potts:
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding. CoRR abs/1703.10186 (2017) - [i12]Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts:
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations. CoRR abs/1708.00112 (2017) - [i11]Ignacio Cases, Minh-Thang Luong, Christopher Potts:
On the Effective Use of Pretraining for Natural Language Inference. CoRR abs/1710.02076 (2017) - 2016
- [j4]Christopher Potts, Daniel Lassiter, Roger Levy, Michael C. Frank:
Embedded Implicatures as Pragmatic Inferences under Compositional Lexical Uncertainty. J. Semant. 33(4): 755-802 (2016) - [c26]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 - [c25]Will Monroe, Noah D. Goodman, Christopher Potts:
Learning to Generate Compositional Color Descriptions. EMNLP 2016: 2243-2248 - [i10]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) - [i9]Will Monroe, Noah D. Goodman, Christopher Potts:
Learning to Generate Compositional Color Descriptions. CoRR abs/1606.03821 (2016) - 2015
- [j3]Marie-Catherine de Marneffe, Marta Recasens, Christopher Potts:
Modeling the Lifespan of Discourse Entities with Application to Coreference Resolution. J. Artif. Intell. Res. 52: 445-475 (2015) - [c24]Samuel R. Bowman, Christopher Potts, Christopher D. Manning:
Learning Distributed Word Representations for Natural Logic Reasoning. AAAI Spring Symposia 2015 - [c23]Angel X. Chang, Will Monroe, Manolis Savva, Christopher Potts, Christopher D. Manning:
Text to 3D Scene Generation with Rich Lexical Grounding. ACL (1) 2015: 53-62 - [c22]Samuel R. Bowman, Christopher Potts, Christopher D. Manning:
Recursive Neural Networks Can Learn Logical Semantics. CVSC 2015: 12-21 - [c21]Samuel R. Bowman, Gabor Angeli, Christopher Potts, Christopher D. Manning:
A large annotated corpus for learning natural language inference. EMNLP 2015: 632-642 - [c20]Samuel R. Bowman, Christopher D. Manning, Christopher Potts:
Tree-Structured Composition in Neural Networks without Tree-Structured Architectures. CoCo@NIPS 2015 - [i8]Angel X. Chang, Will Monroe, Manolis Savva, Christopher Potts, Christopher D. Manning:
Text to 3D Scene Generation with Rich Lexical Grounding. CoRR abs/1505.06289 (2015) - [i7]Samuel R. Bowman, Christopher D. Manning, Christopher Potts:
Tree-structured composition in neural networks without tree-structured architectures. CoRR abs/1506.04834 (2015) - [i6]Samuel R. Bowman, Gabor Angeli, Christopher Potts, Christopher D. Manning:
A large annotated corpus for learning natural language inference. CoRR abs/1508.05326 (2015) - [i5]Will Monroe, Christopher Potts:
Learning in the Rational Speech Acts Model. CoRR abs/1510.06807 (2015) - 2014
- [j2]Robert West, Hristo S. Paskov, Jure Leskovec, Christopher Potts:
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis. Trans. Assoc. Comput. Linguistics 2: 297-310 (2014) - [c19]Adam Vogel, Andrés Goméz Emilsson, Michael C. Frank, Dan Jurafsky, Christopher Potts:
Learning to Reason Pragmatically with Cognitive Limitations. CogSci 2014 - [c18]Moritz Sudhof, Andrés Goméz Emilsson, Andrew L. Maas, Christopher Potts:
Sentiment expression conditioned by affective transitions and social forces. KDD 2014: 1136-1145 - [i4]Samuel R. Bowman, Christopher Potts, Christopher D. Manning:
Recursive Neural Networks for Learning Logical Semantics. CoRR abs/1406.1827 (2014) - [i3]Robert West, Hristo S. Paskov, Jure Leskovec, Christopher Potts:
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis. CoRR abs/1409.2450 (2014) - [i2]Samuel R. Bowman, Christopher Potts, Christopher D. Manning:
Learning Distributed Word Representations for Natural Logic Reasoning. CoRR abs/1410.4176 (2014) - 2013
- [c17]Adam Vogel, Christopher Potts, Dan Jurafsky:
Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs. ACL (2) 2013: 74-80 - [c16]Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, Christopher Potts:
A computational approach to politeness with application to social factors. ACL (1) 2013: 250-259 - [c15]Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, Christopher Potts:
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. EMNLP 2013: 1631-1642 - [c14]Marta Recasens, Marie-Catherine de Marneffe, Christopher Potts:
The Life and Death of Discourse Entities: Identifying Singleton Mentions. HLT-NAACL 2013: 627-633 - [c13]Adam Vogel, Max Bodoia, Christopher Potts, Daniel Jurafsky:
Emergence of Gricean Maxims from Multi-Agent Decision Theory. HLT-NAACL 2013: 1072-1081 - [c12]Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, Jure Leskovec, Christopher Potts:
No country for old members: user lifecycle and linguistic change in online communities. WWW 2013: 307-318 - [i1]Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, Christopher Potts:
A Computational Approach to Politeness with Application to Social Factors. CoRR abs/1306.6078 (2013) - 2012
- [j1]Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts:
Did It Happen? The Pragmatic Complexity of Veridicality Assessment. Comput. Linguistics 38(2): 301-333 (2012) - [c11]Jan Overgoor, Ellery Wulczyn, Christopher Potts:
Trust Propagation with Mixed-Effects Models. ICWSM 2012 - 2011
- [c10]Alex Djalali, David Clausen, Sven Lauer, Karl Schultz, Christopher Potts:
Modeling Expert Effects and Common Ground Using Questions Under Discussion. AAAI Fall Symposium: Building Representations of Common Ground with Intelligent Agents 2011 - [c9]Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, Christopher Potts:
Learning Word Vectors for Sentiment Analysis. ACL 2011: 142-150 - [c8]Alex Djalali, Sven Lauer, Christopher Potts:
Corpus Evidence for Preference-Driven Interpretation. Amsterdam Colloquium on Logic, Language and Meaning 2011: 150-159 - [c7]Mahalia Miller, Conal Sathi, Daniel Wiesenthal, Jure Leskovec, Christopher Potts:
Sentiment Flow Through Hyperlink Networks. ICWSM 2011 - [c6]Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts:
Veridicality and Utterance Understanding. ICSC 2011: 430-437 - 2010
- [c5]Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts:
"Was It Good? It Was Provocative." Learning the Meaning of Scalar Adjectives. ACL 2010: 167-176 - [c4]Robert Munro, Steven Bethard, Victor Kuperman, Vicky Tzuyin Lai, Robin Melnick, Christopher Potts, Tyler Schnoebelen, Harry J. Tily:
Crowdsourcing and language studies: the new generation of linguistic data. Mturk@HLT-NAACL 2010: 122-130
2000 – 2009
- 2009
- [c3]Christopher Davis, Christopher Potts:
Affective Demonstratives and the Division of Pragmatic Labor. Amsterdam Colloquium on Logic, Language and Meaning 2009: 42-52 - [c2]Marie-Catherine de Marneffe, Scott Grimm, Christopher Potts:
Not a Simple Yes or No: Uncertainty in Indirect Answers. SIGDIAL Conference 2009: 136-143 - 2006