| 2026 | ACL | Splits! Flexible Sociocultural Linguistic Investigation at Scale. | Eylon Caplan, Tania Chakraborty, Dan Goldwasser |
| 2026 | ACL | TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference. | Nishanth Sridhar Nakshatri, Eylon Caplan, Rajkumar Pujari, Dan Goldwasser |
| 2026 | ACL | Iterative Dual-Model Alignment for Story Evaluation. | Bruce Qin, Dan Goldwasser |
| 2025 | ACL | ConceptCarve: Dynamic Realization of Evidence. | Eylon Caplan, Dan Goldwasser |
| 2025 | ACL | Talking Point based Ideological Discourse Analysis in News Events. | Nishanth Sridhar Nakshatri, Nikhil Mehta, Siyi Liu, Sihao Chen, Daniel Hopkins, Dan Roth, Dan Goldwasser |
| 2025 | EMNLP | VIBE: Can a VLM Read the Room? | Tania Chakraborty, Eylon Caplan, Dan Goldwasser |
| 2025 | EMNLP | Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation. | Tunazzina Islam, Dan Goldwasser |
| 2025 | EMNLP | SOLAR: Towards Characterizing Subjectivity of Individuals through Modeling Value Conflicts and Trade-offs. | Younghun Lee, Dan Goldwasser |
| 2025 | EMNLP | EmoGist: Efficient In-Context Learning for Visual Emotion Understanding. | Ronald Seoh, Dan Goldwasser |
| 2025 | ICDM | Persona-Driven LLM Interaction in Stock Market Simulations. | Medhashree Parhy, Dan Goldwasser |
| 2025 | ICWSM | Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs. | Tunazzina Islam, Dan Goldwasser |
| 2025 | NAACL | Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy. | Tunazzina Islam, Dan Goldwasser |
| 2025 | NAACL | LLM-Human Pipeline for Cultural Grounding of Conversations. | Rajkumar Pujari, Dan Goldwasser |
| 2025 | NAACL | Identifying Power Relations in Conversations using Multi-Agent Social Reasoning. | Zhaoqing Wu, Dan Goldwasser, Maria Leonor Pacheco, Leora Morgenstern |
| 2024 | EACL | Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models. | Younghun Lee, Dan Goldwasser, Laura Schwab Reese |
| 2024 | EMNLP | Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media. | Nikhil Mehta, Dan Goldwasser |
| 2024 | EMNLP | "We Demand Justice!": Towards Social Context Grounding of Political Texts. | Rajkumar Pujari, Chengfei Wu, Dan Goldwasser |
| 2024 | NAACL | An Interactive Framework for Profiling News Media Sources. | Nikhil Mehta, Dan Goldwasser |
| 2024 | NAACL | Analysis of State-Level Legislative Process in Enhanced Linguistic and Nationwide Network Contexts. | Maryam Davoodi, Dan Goldwasser |
| 2023 | ACL | Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. | Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser |
| 2023 | AIES | Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging. | Tunazzina Islam, Ruqi Zhang, Dan Goldwasser |
| 2023 | EMNLP | Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries. | Nishanth Sridhar Nakshatri, Siyi Liu, Sihao Chen, Dan Roth, Dan Goldwasser, Daniel Hopkins |
| 2023 | EMNLP | "A Tale of Two Movements': Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction. | Shamik Roy, Dan Goldwasser |
| 2023 | IJCNLP | Interactively Learning Social Media Representations Improves News Source Factuality Detection. | Nikhil Mehta, Dan Goldwasser |
| 2023 | ICSE | KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. | Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang |
| 2023 | ICWSM | Weakly Supervised Learning for Analyzing Political Campaigns on Facebook. | Tunazzina Islam, Shamik Roy, Dan Goldwasser |
| 2022 | ACL | Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts. | Maryam Davoodi, Eric Waltenburg, Dan Goldwasser |
| 2022 | ACL | Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks. | Nikhil Mehta, Maria Leonor Pacheco, Dan Goldwasser |
| 2022 | EMNLP | Towards Explaining Subjective Ground of Individuals on Social Media. | Younghun Lee, Dan Goldwasser |
| 2022 | EMNLP | Hands-On Interactive Neuro-Symbolic NLP with DRaiL. | Maria Leonor Pacheco, Shamik Roy, Dan Goldwasser |
| 2022 | ICWSM | Twitter User Representation Using Weakly Supervised Graph Embedding. | Tunazzina Islam, Dan Goldwasser |
| 2022 | NAACL | A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. | Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser |
| 2022 | SP | Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents. | Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru |
| 2021 | ACL | Using Social and Linguistic Information to Adapt Pretrained Representations for Political Perspective Identification. | Chang Li, Dan Goldwasser |
| 2021 | EACL | Randomized Deep Structured Prediction for Discourse-Level Processing. | Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser |
| 2021 | EMNLP | Understanding Politics via Contextualized Discourse Processing. | Rajkumar Pujari, Dan Goldwasser |
| 2021 | EMNLP | Identifying Morality Frames in Political Tweets using Relational Learning. | Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser |
| 2021 | ICWSM | Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model. | Tunazzina Islam, Dan Goldwasser |
| 2021 | NAACL | Modeling Human Mental States with an Entity-based Narrative Graph. | I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser |
| 2020 | ACL | Understanding the Language of Political Agreement and Disagreement in Legislative Texts. | Maryam Davoodi, Eric Waltenburg, Dan Goldwasser |
| 2020 | COLING | Cross-Lingual Document Retrieval with Smooth Learning. | Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang |
| 2020 | COLING | Predicting Stance Change Using Modular Architectures. | Aldo Porco, Dan Goldwasser |
| 2020 | COLING | Semi-supervised Autoencoding Projective Dependency Parsing. | Xiao Zhang, Dan Goldwasser |
| 2020 | EMNLP | Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations. | I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser |
| 2020 | EMNLP | Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media. | Shamik Roy, Dan Goldwasser |
| 2020 | SIGdial | Identifying Collaborative Conversations using Latent Discourse Behaviors. | Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser |
| 2019 | AAAI | Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols. | Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru |
| 2019 | AAAI | TransConv: Relationship Embedding in Social Networks. | Yi-Yu Lai, Jennifer Neville, Dan Goldwasser |
| 2019 | ACL | Multi-Relational Script Learning for Discourse Relations. | I-Ta Lee, Dan Goldwasser |
| 2019 | ACL | Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media. | Chang Li, Dan Goldwasser |
| 2019 | ACL | Sentiment Tagging with Partial Labels using Modular Architectures. | Xiao Zhang, Dan Goldwasser |
| 2019 | NAACL | Improving Natural Language Interaction with Robots Using Advice. | Nikhil Mehta, Dan Goldwasser |
| 2019 | NAACL | Using Natural Language Relations between Answer Choices for Machine Comprehension. | Rajkumar Pujari, Dan Goldwasser |
| 2018 | AAAI | FEEL: Featured Event Embedding Learning. | I-Ta Lee, Dan Goldwasser |
| 2018 | ACL | Classification of Moral Foundations in Microblog Political Discourse. | Kristen Johnson, Dan Goldwasser |
| 2018 | COLING | Structured Representation Learning for Online Debate Stance Prediction. | Chang Li, Aldo Porco, Dan Goldwasser |
| 2018 | EDM | Understanding Learners' Opinion about Participation Certificates in Online Courses using Topic Modeling. | Gaurav Nanda, Nathan M. Hicks, David R. Waller, Kerrie Anna Douglas, Dan Goldwasser |
| 2017 | ACL | Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. | Kristen Johnson, Di Jin, Dan Goldwasser |
| 2017 | CIKM | TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates. | Ayush Patwari, Dan Goldwasser, Saurabh Bagchi |
| 2017 | EMNLP | Semi-supervised Structured Prediction with Neural CRF Autoencoder. | Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser |
| 2017 | ICWSM | Modeling of Political Discourse Framing on Twitter. | Kristen Johnson, Di Jin, Dan Goldwasser |
| 2016 | AAAI | Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. | Snigdha Chaturvedi, Dan Goldwasser, Hal Daum III |
| 2016 | COLING | "All I know about politics is what I read in Twitter": Weakly Supervised Models for Extracting Politicians' Stances From Twitter. | Kristen Johnson, Dan Goldwasser |
| 2016 | CoNLL | Adapting Event Embedding for Implicit Discourse Relation Recognition. | Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser |
| 2016 | EMNLP | Introducing DRAIL - a Step Towards Declarative Deep Relational Learning. | Xiao Zhang, Maria Leonor Pacheco, Chang Li, Dan Goldwasser |
| 2014 | AAAI | Learning Latent Engagement Patterns of Students in Online Courses. | Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daum III, Lise Getoor |
| 2014 | ACL | Predicting Instructor's Intervention in MOOC forums. | Snigdha Chaturvedi, Dan Goldwasser, Hal Daum III |
| 2014 | EACL | "I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues. | Dan Goldwasser, Hal Daum III |
| 2013 | ACL | Leveraging Domain-Independent Information in Semantic Parsing. | Dan Goldwasser, Dan Roth |
| 2012 | NAACL | Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. | Dan Goldwasser, Vivek Srikumar, Dan Roth |
| 2011 | ACL | Confidence Driven Unsupervised Semantic Parsing. | Dan Goldwasser, Roi Reichart, James Clarke, Dan Roth |
| 2011 | IJCAI | Learning from Natural Instructions. | Dan Goldwasser, Dan Roth |
| 2010 | CoNLL | Driving Semantic Parsing from the World's Response. | James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth |
| 2010 | ICML | Structured Output Learning with Indirect Supervision. | Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth |
| 2010 | NAACL | Discriminative Learning over Constrained Latent Representations. | Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar |
| 2009 | EMNLP | Reading to Learn: Constructing Features from Semantic Abstracts. | Jacob Eisenstein, James Clarke, Dan Goldwasser, Dan Roth |
| 2009 | NAACL | Unsupervised Constraint Driven Learning For Transliteration Discovery. | Ming-Wei Chang, Dan Goldwasser, Dan Roth, Yuancheng Tu |
| 2008 | ACL | Active Sample Selection for Named Entity Transliteration. | Dan Goldwasser, Dan Roth |
| 2008 | EMNLP | Transliteration as Constrained Optimization. | Dan Goldwasser, Dan Roth |
| 2008 | FMCAD | A Theory-Based Decision Heuristic for DPLL(T). | Dan Goldwasser, Ofer Strichman, Shai Fine |
| 2006 | ECAI | Identifying Inter-Domain Similarities Through Content-Based Analysis of Hierarchical Web-Directories. | Shlomo Berkovsky, Dan Goldwasser, Tsvi Kuflik, Francesco Ricci |