Toward Trustworthy Adjustable Autonomy in KAoS. - Jeffrey M. Bradshaw; Hyuckchul Jung; Shriniwas Kulkarni; Matthew Johnson 001; Paul J. Feltovich; James F. Allen; Larry Bunch; Nathanael Chambers; Lucian Galescu; Renia Jeffers; Niranjan Suri; William Taysom; et al. (Trusting Agents for Trusting Electronic Societies, 2004)

Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator. - Nathanael Chambers; James F. Allen (SIGDIAL Workshop, 2004)

Policy-based coordination in joint human-agent activity. - Jeffrey M. Bradshaw; Paul J. Feltovich; Hyuckchul Jung; Shriniwas Kulkarni; James F. Allen; Larry Bunch; Nathanael Chambers; Lucian Galescu; Renia Jeffers; Matthew Johnson 001; Maarten Sierhuis; William Taysom; et al. (SMC (2), 2004)

Two Diverse Systems Built using Generic Components for Spoken Dialogue (Recent Progress on TRIPS). - James F. Allen; George Ferguson; Amanda Stent; Scott C. Stoness; Mary D. Swift; Lucian Galescu; Nathanael Chambers; Ellen Campana; Gregory Aist (ACL, 2005)

Kaa: policy-based explorations of a richer model for adjustable autonomy. - Jeffrey M. Bradshaw; Hyuckchul Jung; Shriniwas Kulkarni; Matthew Johnson 001; Paul J. Feltovich; James F. Allen; Larry Bunch; Nathanael Chambers; Lucian Galescu; Renia Jeffers; Niranjan Suri; William Taysom; et al. (AAMAS, 2005)

Real-Time Stochastic Language Generation for Dialogue Systems. - Nathanael Chambers (ENLG, 2005)

Approaches for Automatically Tagging Affect: Steps Toward an Effective and Efficient Tool. - Nathanael Chambers; Joel R. Tetreault; James F. Allen (Computing Attitude and Affect in Text, 2006)

Using Semantics to Identify Web Objects. - Nathanael Chambers; James F. Allen; Lucian Galescu; Hyuckchul Jung; William Taysom (AAAI, 2006)

One-Shot Procedure Learning from Instruction and Observation. - Hyuckchul Jung; James F. Allen; Nathanael Chambers; Lucian Galescu; Mary D. Swift; William Taysom (FLAIRS, 2006)

Chester: Towards a personal medication advisor. - James F. Allen; George Ferguson; Nate Blaylock; Donna K. Byron; Nathanael Chambers; Myroslava O. Dzikovska; Lucian Galescu; Mary D. Swift (J. Biomed. Informatics, 2006)

PLOW: A Collaborative Task Learning Agent. - James F. Allen; Nathanael Chambers; George Ferguson; Lucian Galescu; Hyuckchul Jung; Mary D. Swift; William Taysom (AAAI, 2007)

Learning Alignments and Leveraging Natural Logic. - Nathanael Chambers; Daniel M. Cer; Trond Grenager; David Hall 006; Chloé Kiddon; Bill MacCartney; Marie-Catherine de Marneffe; Daniel Ramage; Eric Yeh; Christopher D. Manning (ACL-PASCAL@ACL, 2007)

Classifying Temporal Relations Between Events. - Nathanael Chambers; Shan Wang 002; Daniel Jurafsky (ACL, 2007)

Demonstration of PLOW: A Dialogue System for One-Shot Task Learning. - James F. Allen; Nathanael Chambers; George Ferguson; Lucian Galescu; Hyuckchul Jung; Mary D. Swift; William Taysom (HLT-NAACL (Demonstrations), 2007)

Unsupervised Learning of Narrative Event Chains. - Nathanael Chambers; Daniel Jurafsky (ACL, 2008)

Jointly Combining Implicit Constraints Improves Temporal Ordering. - Nathanael Chambers; Daniel Jurafsky (EMNLP, 2008)

Utilizing Natural Language for One-Shot Task Learning. - Hyuckchul Jung; James F. Allen; Lucian Galescu; Nathanael Chambers; Mary D. Swift; William Taysom (J. Log. Comput., 2008)

Unsupervised Learning of Narrative Schemas and their Participants. - Nathanael Chambers; Dan Jurafsky (ACL/IJCNLP, 2009)

Improving the Use of Pseudo-Words for Evaluating Selectional Preferences. - Nathanael Chambers; Daniel Jurafsky (ACL, 2010)

A Multi-Pass Sieve for Coreference Resolution. - Karthik Raghunathan; Heeyoung Lee; Sudarshan Rangarajan; Nate Chambers; Mihai Surdeanu; Dan Jurafsky; Christopher D. Manning (EMNLP, 2010)

A Database of Narrative Schemas. - Nathanael Chambers; Daniel Jurafsky (LREC, 2010)

Template-Based Information Extraction without the Templates. - Nathanael Chambers; Dan Jurafsky (ACL, 2011)

Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. - Heeyoung Lee; Yves Peirsman; Angel X. Chang; Nathanael Chambers; Mihai Surdeanu; Dan Jurafsky (CoNLL Shared Task, 2011)

Using Query Patterns to Learn the Duration of Events. - Andrey Gusev; Nathanael Chambers; Divye Raj Khilnani; Pranav Khaitan; Steven Bethard; Dan Jurafsky (IWCS, 2011)

Inducing event schemas and their participants from unlabeled text. - Nathanael Chambers (2011)

Labeling Documents with Timestamps: Learning from their Time Expressions. - Nathanael Chambers (ACL (1), 2012)

Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter. - Micol Marchetti-Bowick; Nathanael Chambers (EACL, 2012)

Learning the Central Events and Participants in Unlabeled Text. - Nathanael Chambers; Dan Jurafsky (ICML, 2012)

Event Schema Induction with a Probabilistic Entity-Driven Model. - Nathanael Chambers (EMNLP, 2013)

NavyTime: Event and Time Ordering from Raw Text. - Nate Chambers (SemEval@NAACL-HLT, 2013)

USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis. - Ganesh Harihara; Eugene Yang; Nate Chambers (SemEval@NAACL-HLT, 2013)

Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules. - Heeyoung Lee; Angel X. Chang; Yves Peirsman; Nathanael Chambers; Mihai Surdeanu; Dan Jurafsky (Comput. Linguistics, 2013)

An Annotation Framework for Dense Event Ordering. - Taylor Cassidy; Bill McDowell; Nathanael Chambers; Steven Bethard (ACL (2), 2014)

Dense Event Ordering with a Multi-Pass Architecture. - Nathanael Chambers; Taylor Cassidy; Bill McDowell; Steven Bethard (Trans. Assoc. Comput. Linguistics, 2014)

Identifying Political Sentiment between Nation States with Social Media. - Nathanael Chambers; Victor Bowen; Ethan Genco; Xisen Tian; Eric Young; Ganesh Harihara; Eugene Yang (EMNLP, 2015)

SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering. - Hector Llorens; Nathanael Chambers; Naushad UzZaman; Nasrin Mostafazadeh; James F. Allen; James Pustejovsky (SemEval@NAACL-HLT, 2015)

CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures. - Nasrin Mostafazadeh; Alyson Grealish; Nathanael Chambers; James F. Allen; Lucy Vanderwende (EVENTS@HLT-NAACL, 2016)

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories. - Nasrin Mostafazadeh; Nathanael Chambers; Xiaodong He 001; Devi Parikh; Dhruv Batra; Lucy Vanderwende; Pushmeet Kohli; James F. Allen (HLT-NAACL, 2016)

A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories. - Nasrin Mostafazadeh; Nathanael Chambers; Xiaodong He 001; Devi Parikh; Dhruv Batra; Lucy Vanderwende; Pushmeet Kohli; James F. Allen (CoRR, 2016)

Aligning Entity Names with Online Aliases on Twitter. - Kevin McKelvey; Peter Goutzounis; Stephen da Cruz; Nathanael Chambers (SocialNLP@EACL, 2017)

Behind the Scenes of an Evolving Event Cloze Test. - Nathanael Chambers (LSDSem@EACL, 2017)

LSDSem 2017 Shared Task: The Story Cloze Test. - Nasrin Mostafazadeh; Michael Roth 001; Annie Louis; Nathanael Chambers; James F. Allen (LSDSem@EACL, 2017)

Event Ordering with a Generalized Model for Sieve Prediction Ranking. - Bill McDowell; Nathanael Chambers; Alexander G. Ororbia II; David Reitter (IJCNLP(1), 2017)

Event Representations With Tensor-Based Compositions. - Noah Weber; Niranjan Balasubramanian; Nathanael Chambers (AAAI, 2018)

Hierarchical Quantized Representations for Script Generation. - Noah Weber; Leena Shekhar; Niranjan Balasubramanian; Nate Chambers (EMNLP, 2018)

Detecting Denial-of-Service Attacks from Social Media Text: Applying NLP to Computer Security. - Nathanael Chambers; Ben Fry; James McMasters (NAACL-HLT, 2018)

Learning Typed Entailment Graphs with Global Soft Constraints. - Mohammad Javad Hosseini; Nathanael Chambers; Siva Reddy; Xavier R. Holt; Shay B. Cohen; Mark Johnson 001; Mark Steedman (Trans. Assoc. Comput. Linguistics, 2018)

Character-Based Models for Adversarial Phone Extraction: Preventing Human Sex Trafficking. - Nathanael Chambers; Timothy Forman; Catherine Griswold; Kevin Lu; Yogaish Khastgir; Stephen Steckler (W-NUT@EMNLP, 2019)

Modeling Label Semantics for Predicting Emotional Reactions. - Radhika Gaonkar; Heeyoung Kwon; Mohaddeseh Bastan; Niranjan Balasubramanian; Nathanael Chambers (ACL, 2020)

Generating Narrative Text in a Switching Dynamical System. - Noah Weber; Leena Shekhar; Heeyoung Kwon; Niranjan Balasubramanian; Nathanael Chambers (CoNLL, 2020)

Modeling Preconditions in Text with a Crowd-sourced Dataset. - Heeyoung Kwon; Mahnaz Koupaee; Pratyush Singh; Gargi Sawhney; Anmol Shukla; Keerthi Kumar Kallur; Nathanael Chambers; Niranjan Balasubramanian (EMNLP (Findings), 2020)

Connecting the Dots: Event Graph Schema Induction with Path Language Modeling. - Manling Li; Qi Zeng 001; Ying Lin; Kyunghyun Cho; Heng Ji 001; Jonathan May; Nathanael Chambers; Clare R. Voss (EMNLP (1), 2020)

Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. - Mahnaz Koupaee; Greg Durrett; Nathanael Chambers; Niranjan Balasubramanian (ACL/IJCNLP (2), 2021)

TellMeWhy: A Dataset for Answering Why-Questions in Narratives. - Yash Kumar Lal; Nathanael Chambers; Raymond J. Mooney; Niranjan Balasubramanian (ACL/IJCNLP (Findings), 2021)

Conditional Generation of Temporally-ordered Event Sequences. - Shih-Ting Lin; Nathanael Chambers; Greg Durrett (ACL/IJCNLP (1), 2021)

Toward Diverse Precondition Generation. - Heeyoung Kwon; Nathanael Chambers; Niranjan Balasubramanian (*SEM, 2021)

Using Commonsense Knowledge to Answer Why-Questions. - Yash Kumar Lal; Niket Tandon; Tanvi Aggarwal; Horace Liu; Nathanael Chambers; Raymond J. Mooney; Niranjan Balasubramanian (EMNLP, 2022)

PASTA: A Dataset for Modeling Participant States in Narratives. - Sayontan Ghosh; Mahnaz Koupaee; Isabella Chen; Francis Ferraro; Nathanael Chambers; Niranjan Balasubramanian (CoRR, 2022)

Modeling Complex Event Scenarios via Simple Entity-focused Questions. - Mahnaz Koupaee; Greg Durrett; Nathanael Chambers; Niranjan Balasubramanian (EACL, 2023)

SAGEViz: SchemA GEneration and Visualization. - 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 (EMNLP (Demos), 2023)

PASTA: A Dataset for Modeling PArticipant STAtes in Narratives. - Sayontan Ghosh; Mahnaz Koupaee; Isabella Chen; Francis Ferraro; Nathanael Chambers; Niranjan Balasubramanian (Trans. Assoc. Comput. Linguistics, 2023)

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. - Yash Kumar Lal; Vanya Cohen; Nathanael Chambers; Niranjan Balasubramanian; Raymond J. Mooney (EMNLP, 2024)

Causal Graph based Event Reasoning using Semantic Relation Experts. - Mahnaz Koupaee; Xueying Bai; Mudan Chen; Greg Durrett; Nathanael Chambers; Niranjan Balasubramanian (ACL (1), 2025)