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ORCIDNathanael Chambers
Nate Chambers
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- affiliation: United States Naval Academy, MD, USA
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2020 – today
- 2024
[c52]Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond J. Mooney:
CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. EMNLP 2024: 19336-19354- [i12]Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond Mooney:
CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. CoRR abs/2406.15823 (2024) - 2023
- [j6]Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian:
PASTA: A Dataset for Modeling PArticipant STAtes in Narratives. Trans. Assoc. Comput. Linguistics 11: 1283-1300 (2023) - [c51]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Complex Event Scenarios via Simple Entity-focused Questions. EACL 2023: 2460-2475 - [c50]Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian:
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) 2023: 328-335 - [i11]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Complex Event Scenarios via Simple Entity-focused Questions. CoRR abs/2302.07139 (2023) - 2022
- [c49]Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian:
Using Commonsense Knowledge to Answer Why-Questions. EMNLP 2022: 1204-1219 - [i10]Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian:
PASTA: A Dataset for Modeling Participant States in Narratives. CoRR abs/2208.00329 (2022) - 2021
- [c48]Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian:
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. ACL/IJCNLP (Findings) 2021: 596-610 - [c47]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. ACL/IJCNLP (2) 2021: 599-604 - [c46]Shih-Ting Lin, Nathanael Chambers, Greg Durrett:
Conditional Generation of Temporally-ordered Event Sequences. ACL/IJCNLP (1) 2021: 7142-7157 - [c45]Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian:
Toward Diverse Precondition Generation. *SEM 2021: 160-172 - [i9]Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian:
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. CoRR abs/2106.06132 (2021) - [i8]Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian:
Toward Diverse Precondition Generation. CoRR abs/2106.07117 (2021) - 2020
- [c44]Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers:
Modeling Label Semantics for Predicting Emotional Reactions. ACL 2020: 4687-4692 - [c43]Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers:
Generating Narrative Text in a Switching Dynamical System. CoNLL 2020: 520-530 - [c42]Manling Li, Qi Zeng
, Ying Lin, Kyunghyun Cho, Heng Ji, Jonathan May, Nathanael Chambers, Clare R. Voss:
Connecting the Dots: Event Graph Schema Induction with Path Language Modeling. EMNLP (1) 2020: 684-695 - [c41]Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Preconditions in Text with a Crowd-sourced Dataset. EMNLP (Findings) 2020: 3818-3828 - [i7]Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers:
Generating Narrative Text in a Switching Dynamical System. CoRR abs/2004.03762 (2020) - [i6]Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers:
Modeling Label Semantics for Predicting Emotional Reactions. CoRR abs/2006.05489 (2020) - [i5]Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Preconditions in Text with a Crowd-sourced Dataset. CoRR abs/2010.02429 (2020) - [i4]Shih-Ting Lin, Nathanael Chambers, Greg Durrett:
Conditional Generation of Temporally-ordered Event Sequences. CoRR abs/2012.15786 (2020)
2010 – 2019
- 2019
- [c40]Nathanael Chambers, Timothy Forman, Catherine Griswold, Kevin Lu, Yogaish Khastgir, Stephen Steckler:
Character-Based Models for Adversarial Phone Extraction: Preventing Human Sex Trafficking. W-NUT@EMNLP 2019: 48-56 - 2018
- [j5]Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman:
Learning Typed Entailment Graphs with Global Soft Constraints. Trans. Assoc. Comput. Linguistics 6: 703-717 (2018) - [c39]Noah Weber, Niranjan Balasubramanian, Nathanael Chambers:
Event Representations With Tensor-Based Compositions. AAAI 2018: 4946-4953 - [c38]Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nate Chambers:
Hierarchical Quantized Representations for Script Generation. EMNLP 2018: 3783-3792 - [c37]Nathanael Chambers, Ben Fry, James McMasters:
Detecting Denial-of-Service Attacks from Social Media Text: Applying NLP to Computer Security. NAACL-HLT 2018: 1626-1635 - [i3]Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nathanael Chambers:
Hierarchical Quantized Representations for Script Generation. CoRR abs/1808.09542 (2018) - 2017
- [c36]Kevin McKelvey, Peter Goutzounis, Stephen da Cruz, Nathanael Chambers:
Aligning Entity Names with Online Aliases on Twitter. SocialNLP@EACL 2017: 25-35 - [c35]Nathanael Chambers:
Behind the Scenes of an Evolving Event Cloze Test. LSDSem@EACL 2017: 41-45 - [c34]Nasrin Mostafazadeh, Michael Roth, Annie Louis, Nathanael Chambers, James F. Allen:
LSDSem 2017 Shared Task: The Story Cloze Test. LSDSem@EACL 2017: 46-51 - [c33]Bill McDowell, Nathanael Chambers, Alexander G. Ororbia II, David Reitter:
Event Ordering with a Generalized Model for Sieve Prediction Ranking. IJCNLP(1) 2017: 843-853 - [e1]Michael Roth, Nasrin Mostafazadeh, Nathanael Chambers, Annie Louis:
Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, LSDSem@EACL 2017, Valencia, Spain, April 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-40-1 [contents] - [i2]Noah Weber, Niranjan Balasubramanian, Nathanael Chambers:
Event Representations with Tensor-based Compositions. CoRR abs/1711.07611 (2017) - 2016
- [c32]Nasrin Mostafazadeh, Alyson Grealish, Nathanael Chambers, James F. Allen, Lucy Vanderwende:
CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures. EVENTS@HLT-NAACL 2016: 51-61 - [c31]Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen:
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories. HLT-NAACL 2016: 839-849 - [i1]Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen:
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories. CoRR abs/1604.01696 (2016) - 2015
- [c30]Nathanael Chambers, Victor Bowen, Ethan Genco, Xisen Tian, Eric Young, Ganesh Harihara, Eugene Yang:
Identifying Political Sentiment between Nation States with Social Media. EMNLP 2015: 65-75 - [c29]Hector Llorens, Nathanael Chambers, Naushad UzZaman, Nasrin Mostafazadeh, James F. Allen, James Pustejovsky:
SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering. SemEval@NAACL-HLT 2015: 792-800 - 2014
- [j4]Nathanael Chambers, Taylor Cassidy, Bill McDowell, Steven Bethard:
Dense Event Ordering with a Multi-Pass Architecture. Trans. Assoc. Comput. Linguistics 2: 273-284 (2014) - [c28]Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard:
An Annotation Framework for Dense Event Ordering. ACL (2) 2014: 501-506 - 2013
- [j3]Heeyoung Lee, Angel X. Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky:
Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules. Comput. Linguistics 39(4): 885-916 (2013) - [c27]Nathanael Chambers:
Event Schema Induction with a Probabilistic Entity-Driven Model. EMNLP 2013: 1797-1807 - [c26]Nate Chambers:
NavyTime: Event and Time Ordering from Raw Text. SemEval@NAACL-HLT 2013: 73-77 - [c25]Ganesh Harihara, Eugene Yang, Nate Chambers:
USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis. SemEval@NAACL-HLT 2013: 390-394 - 2012
- [c24]Nathanael Chambers:
Labeling Documents with Timestamps: Learning from their Time Expressions. ACL (1) 2012: 98-106 - [c23]Micol Marchetti-Bowick, Nathanael Chambers:
Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter. EACL 2012: 603-612 - [c22]Nathanael Chambers, Dan Jurafsky:
Learning the Central Events and Participants in Unlabeled Text. ICML 2012 - 2011
- [b1]Nathanael Chambers:
Inducing event schemas and their participants from unlabeled text. Stanford University, USA, 2011 - [c21]Nathanael Chambers, Dan Jurafsky:
Template-Based Information Extraction without the Templates. ACL 2011: 976-986 - [c20]Heeyoung Lee, Yves Peirsman, Angel X. Chang, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky:
Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. CoNLL Shared Task 2011: 28-34 - [c19]Andrey Gusev, Nathanael Chambers, Divye Raj Khilnani, Pranav Khaitan, Steven Bethard, Dan Jurafsky:
Using Query Patterns to Learn the Duration of Events. IWCS 2011 - 2010
- [c18]Nathanael Chambers, Daniel Jurafsky:
Improving the Use of Pseudo-Words for Evaluating Selectional Preferences. ACL 2010: 445-453 - [c17]Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nate Chambers, Mihai Surdeanu, Dan Jurafsky, Christopher D. Manning:
A Multi-Pass Sieve for Coreference Resolution. EMNLP 2010: 492-501 - [c16]Nathanael Chambers, Daniel Jurafsky:
A Database of Narrative Schemas. LREC 2010
2000 – 2009
- 2009
- [c15]Nathanael Chambers, Dan Jurafsky:
Unsupervised Learning of Narrative Schemas and their Participants. ACL/IJCNLP 2009: 602-610 - 2008
- [j2]Hyuckchul Jung, James F. Allen, Lucian Galescu, Nathanael Chambers, Mary D. Swift, William Taysom:
Utilizing Natural Language for One-Shot Task Learning. J. Log. Comput. 18(3): 475-493 (2008) - [c14]Nathanael Chambers, Daniel Jurafsky:
Unsupervised Learning of Narrative Event Chains. ACL 2008: 789-797 - [c13]Nathanael Chambers, Daniel Jurafsky:
Jointly Combining Implicit Constraints Improves Temporal Ordering. EMNLP 2008: 698-706 - 2007
- [c12]James F. Allen, Nathanael Chambers, George Ferguson, Lucian Galescu, Hyuckchul Jung, Mary D. Swift, William Taysom:
PLOW: A Collaborative Task Learning Agent. AAAI 2007: 1514-1519 - [c11]Nathanael Chambers, Daniel M. Cer, Trond Grenager, David Hall, Chloé Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh, Christopher D. Manning:
Learning Alignments and Leveraging Natural Logic. ACL-PASCAL@ACL 2007: 165-170 - [c10]Nathanael Chambers, Shan Wang, Daniel Jurafsky:
Classifying Temporal Relations Between Events. ACL 2007 - [c9]James F. Allen, Nathanael Chambers, George Ferguson, Lucian Galescu, Hyuckchul Jung, Mary D. Swift, William Taysom:
Demonstration of PLOW: A Dialogue System for One-Shot Task Learning. HLT-NAACL (Demonstrations) 2007: 1-2 - 2006
- [j1]James F. Allen, George Ferguson, Nate Blaylock, Donna K. Byron, Nathanael Chambers, Myroslava O. Dzikovska, Lucian Galescu, Mary D. Swift:
Chester: Towards a personal medication advisor. J. Biomed. Informatics 39(5): 500-513 (2006) - [c8]Nathanael Chambers, James F. Allen, Lucian Galescu, Hyuckchul Jung, William Taysom:
Using Semantics to Identify Web Objects. AAAI 2006: 1259-1264 - [c7]Hyuckchul Jung, James F. Allen, Nathanael Chambers, Lucian Galescu, Mary D. Swift, William Taysom:
One-Shot Procedure Learning from Instruction and Observation. FLAIRS 2006: 676-681 - [p1]Nathanael Chambers, Joel R. Tetreault, James F. Allen:
Approaches for Automatically Tagging Affect: Steps Toward an Effective and Efficient Tool. Computing Attitude and Affect in Text 2006: 143-158 - 2005
- [c6]James F. Allen, George Ferguson, Amanda Stent, Scott C. Stoness, Mary D. Swift, Lucian Galescu, Nathanael Chambers, Ellen Campana, Gregory Aist:
Two Diverse Systems Built using Generic Components for Spoken Dialogue (Recent Progress on TRIPS). ACL 2005: 85-88 - [c5]Jeffrey M. Bradshaw, Hyuckchul Jung, Shriniwas Kulkarni, Matthew Johnson, Paul J. Feltovich, James F. Allen, Larry Bunch, Nathanael Chambers, Lucian Galescu, Renia Jeffers, Niranjan Suri, William Taysom, Andrzej Uszok:
Kaa: policy-based explorations of a richer model for adjustable autonomy. AAMAS 2005: 214-221 - [c4]Nathanael Chambers:
Real-Time Stochastic Language Generation for Dialogue Systems. ENLG 2005 - 2004
- [c3]Jeffrey M. Bradshaw, Hyuckchul Jung, Shriniwas Kulkarni, Matthew Johnson, Paul J. Feltovich, James F. Allen, Larry Bunch, Nathanael Chambers, Lucian Galescu, Renia Jeffers, Niranjan Suri, William Taysom, Andrzej Uszok:
Toward Trustworthy Adjustable Autonomy in KAoS. Trusting Agents for Trusting Electronic Societies 2004: 18-42 - [c2]Nathanael Chambers, James F. Allen:
Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator. SIGDIAL Workshop 2004: 9-18 - [c1]Jeffrey M. Bradshaw, Paul J. Feltovich, Hyuckchul Jung, Shriniwas Kulkarni, James F. Allen, Larry Bunch, Nathanael Chambers, Lucian Galescu, Renia Jeffers, Matthew Johnson, Maarten Sierhuis, William Taysom, Andrzej Uszok, Ron van Hoof:
Policy-based coordination in joint human-agent activity. SMC (2) 2004: 2029-2036
Coauthor Index
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