Identifying Inter-Domain Similarities Through Content-Based Analysis of Hierarchical Web-Directories. - Shlomo Berkovsky; Dan Goldwasser; Tsvi Kuflik; Francesco Ricci 001 (ECAI, 2006)

Analyzing Museum Visitors' Behavior Patterns. - Massimo Zancanaro; Tsvi Kuflik; Zvi Boger; Dina Goren-Bar; Dan Goldwasser (User Modeling, 2007)

Active Sample Selection for Named Entity Transliteration. - Dan Goldwasser; Dan Roth 001 (ACL (2), 2008)

Transliteration as Constrained Optimization. - Dan Goldwasser; Dan Roth 001 (EMNLP, 2008)

A Theory-Based Decision Heuristic for DPLL(T). - Dan Goldwasser; Ofer Strichman; Shai Fine (FMCAD, 2008)

Reading to Learn: Constructing Features from Semantic Abstracts. - Jacob Eisenstein; James Clarke; Dan Goldwasser; Dan Roth 001 (EMNLP, 2009)

Unsupervised Constraint Driven Learning For Transliteration Discovery. - Ming-Wei Chang; Dan Goldwasser; Dan Roth 001; Yuancheng Tu (HLT-NAACL, 2009)

Relation Alignment for Textual Entailment Recognition. - Mark Sammons; V. G. Vinod Vydiswaran; Tim Vieira; Nikhil Johri; Ming-Wei Chang; Dan Goldwasser; Vivek Srikumar; Gourab Kundu; Yuancheng Tu; Kevin Small; Joshua S. Rule; Quang Do; et al. (TAC, 2009)

Driving Semantic Parsing from the World's Response. - James Clarke; Dan Goldwasser; Ming-Wei Chang; Dan Roth 001 (CoNLL, 2010)

Structured Output Learning with Indirect Supervision. - Ming-Wei Chang; Vivek Srikumar; Dan Goldwasser; Dan Roth 001 (ICML, 2010)

Discriminative Learning over Constrained Latent Representations. - Ming-Wei Chang; Dan Goldwasser; Dan Roth 001; Vivek Srikumar (HLT-NAACL, 2010)

Confidence Driven Unsupervised Semantic Parsing. - Dan Goldwasser; Roi Reichart; James Clarke; Dan Roth 001 (ACL, 2011)

Structured prediction with indirect supervision. - Ming-Wei Chang; James Clarke; Dan Goldwasser; Lev-Arie Ratinov; Vivek Srikumar; Dan Roth 001 (MLSLP, 2011)

The Study of Resource Allocation among Software Development Phases: An Economics-Based Approach. - Peleg Yiftachel; Irit Hadar; Dan Peled; Eitan Farchi; Dan Goldwasser (Adv. Softw. Eng., 2011)

Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. - Dan Goldwasser; Vivek Srikumar; Dan Roth 001 (HLT-NAACL, 2012)

Learning from natural instructions - Dan Goldwasser (2012)

Leveraging Domain-Independent Information in Semantic Parsing. - Dan Goldwasser; Dan Roth 001 (ACL (2), 2013)

Learning Latent Engagement Patterns of Students in Online Courses. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (AAAI, 2014)

Predicting Instructor's Intervention in MOOC forums. - Snigdha Chaturvedi; Dan Goldwasser; Hal Daumé III (ACL (1), 2014)

Understanding MOOC Discussion Forums using Seeded LDA. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (BEA@ACL, 2014)

"I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues. - Dan Goldwasser; Hal Daumé III (EACL, 2014)

Uncovering hidden engagement patterns for predicting learner performance in MOOCs. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (L@S, 2014)

Visual analytics of MOOCs at maryland. - Zhengzheng Xu; Dan Goldwasser; Benjamin B. Bederson; Jimmy Lin (L@S, 2014)

Learning from natural instructions. - Dan Goldwasser; Dan Roth 001 (Mach. Learn., 2014)

Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. - Snigdha Chaturvedi; Dan Goldwasser; Hal Daumé III (AAAI, 2016)

Identifying Stance by Analyzing Political Discourse on Twitter. - Kristen Johnson; Dan Goldwasser (NLP+CSS@EMNLP, 2016)

"All I know about politics is what I read in Twitter": Weakly Supervised Models for Extracting Politicians' Stances From Twitter. - Kristen Johnson; Dan Goldwasser (COLING, 2016)

Adapting Event Embedding for Implicit Discourse Relation Recognition. - Maria Leonor Pacheco; I-Ta Lee; Xiao Zhang 017; Abdullah Khan Zehady; Pranjal Daga; Di Jin; Ayush Parolia; Dan Goldwasser (CoNLL Shared Task, 2016)

Introducing DRAIL - a Step Towards Declarative Deep Relational Learning. - Xiao Zhang 017; Maria Leonor Pacheco; Chang Li 005; Dan Goldwasser (SPNLP@EMNLP, 2016)

Better Together: Combining Language and Social Interactions into a Shared Representation. - Yi-Yu Lai; Chang Li 005; Dan Goldwasser; Jennifer Neville (TextGraphs@NAACL-HLT, 2016)

Understanding Satirical Articles Using Common-Sense. - Dan Goldwasser; Xiao Zhang 017 (Trans. Assoc. Comput. Linguistics, 2016)

Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter. - Kristen Johnson; I-Ta Lee; Dan Goldwasser (NLP+CSS@ACL, 2017)

Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. - Kristen Johnson; Di Jin; Dan Goldwasser (ACL (1), 2017)

TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates. - Ayush Patwari; Dan Goldwasser; Saurabh Bagchi (CIKM, 2017)

Semi-supervised Structured Prediction with Neural CRF Autoencoder. - Xiao Zhang 017; Yong Jiang; Hao Peng; Kewei Tu; Dan Goldwasser (EMNLP, 2017)

Modeling of Political Discourse Framing on Twitter. - Kristen Johnson; Di Jin; Dan Goldwasser (ICWSM, 2017)

PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings. - I-Ta Lee; Mahak Goindani; Chang Li 005; Di Jin; Kristen Johnson; Xiao Zhang 017; Maria Leonor Pacheco; Dan Goldwasser (SemEval@ACL, 2017)

FEEL: Featured Event Embedding Learning. - I-Ta Lee; Dan Goldwasser (AAAI, 2018)

Classification of Moral Foundations in Microblog Political Discourse. - Kristen Johnson; Dan Goldwasser (ACL (1), 2018)

Structured Representation Learning for Online Debate Stance Prediction. - Chang Li 005; Aldo Porco; Dan Goldwasser (COLING, 2018)

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 (EDM, 2018)

Learning from the Ones that Got Away: Detecting New Forms of Phishing Attacks. - Christopher N. Gutierrez; Taegyu Kim; Raffaele Della Corte; Jeffrey Avery; Dan Goldwasser; Marcello Cinque; Saurabh Bagchi (IEEE Trans. Dependable Secur. Comput., 2018)

Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols. - Samuel Jero; Maria Leonor Pacheco; Dan Goldwasser; Cristina Nita-Rotaru (AAAI, 2019)

TransConv: Relationship Embedding in Social Networks. - Yi-Yu Lai; Jennifer Neville; Dan Goldwasser (AAAI, 2019)

Multi-Relational Script Learning for Discourse Relations. - I-Ta Lee; Dan Goldwasser (ACL (1), 2019)

Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media. - Chang Li 005; Dan Goldwasser (ACL (1), 2019)

Sentiment Tagging with Partial Labels using Modular Architectures. - Xiao Zhang 017; Dan Goldwasser (ACL (1), 2019)

ACE - An Anomaly Contribution Explainer for Cyber-Security Applications. - Xiao Zhang 017; Manish Marwah; I-Ta Lee; Martin F. Arlitt; Dan Goldwasser (IEEE BigData, 2019)

Improving Natural Language Interaction with Robots Using Advice. - Nikhil Mehta 003; Dan Goldwasser (NAACL-HLT (1), 2019)

Using Natural Language Relations between Answer Choices for Machine Comprehension. - Rajkumar Pujari; Dan Goldwasser (NAACL-HLT (1), 2019)

An Anomaly Contribution Explainer for Cyber-Security Applications. - Xiao Zhang 017; Manish Marwah; I-Ta Lee; Martin F. Arlitt; Dan Goldwasser (CoRR, 2019)

Understanding the Language of Political Agreement and Disagreement in Legislative Texts. - Maryam Davoodi; Eric Waltenburg; Dan Goldwasser (ACL, 2020)

Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information. - Tunazzina Islam; Dan Goldwasser (IEEE BigData, 2020)

Cross-Lingual Document Retrieval with Smooth Learning. - Jiapeng Liu; Xiao Zhang 017; Dan Goldwasser; Xiao Wang 045 (COLING, 2020)

Predicting Stance Change Using Modular Architectures. - Aldo Porco; Dan Goldwasser (COLING, 2020)

Semi-supervised Autoencoding Projective Dependency Parsing. - Xiao Zhang 017; Dan Goldwasser (COLING, 2020)

Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations. - I-Ta Lee; Maria Leonor Pacheco; Dan Goldwasser (EMNLP (Findings), 2020)

Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media. - Shamik Roy; Dan Goldwasser (EMNLP (1), 2020)

Semi-supervised Parsing with a Variational Autoencoding Parser. - Xiao Zhang 017; Dan Goldwasser (IWPT 2020, 2020)

Identifying Collaborative Conversations using Latent Discourse Behaviors. - Ayush Jain; Maria Leonor Pacheco; Steven Lancette; Mahak Goindani; Dan Goldwasser (SIGdial, 2020)

"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text. - Keen You; Dan Goldwasser (*SEM@COLING, 2020)

Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information. - Tunazzina Islam; Dan Goldwasser (CoRR, 2020)

Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (IEEE Trans. Learn. Technol., 2020)

Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness. - Luke S. Snyder; Yi-Shan Lin; Morteza Karimzadeh; Dan Goldwasser; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2020)

Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory. - Shamik Roy; Dan Goldwasser (SocialNLP@NAACL, 2021)

Using Social and Linguistic Information to Adapt Pretrained Representations for Political Perspective Identification. - Chang Li 005; Dan Goldwasser (ACL/IJCNLP (Findings), 2021)

Randomized Deep Structured Prediction for Discourse-Level Processing. - Manuel Widmoser; Maria Leonor Pacheco; Jean Honorio; Dan Goldwasser (EACL, 2021)

Understanding Politics via Contextualized Discourse Processing. - Rajkumar Pujari; Dan Goldwasser (EMNLP (1), 2021)

Identifying Morality Frames in Political Tweets using Relational Learning. - Shamik Roy; Maria Leonor Pacheco; Dan Goldwasser (EMNLP (1), 2021)

Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model. - Tunazzina Islam; Dan Goldwasser (ICWSM, 2021)

Modeling Human Mental States with an Entity-based Narrative Graph. - I-Ta Lee; Maria Leonor Pacheco; Dan Goldwasser (NAACL-HLT, 2021)

Modeling Content and Context with Deep Relational Learning. - Maria Leonor Pacheco; Dan Goldwasser (Trans. Assoc. Comput. Linguistics, 2021)

Analyzing Large Collections of Open-Ended Feedback From MOOC Learners Using LDA Topic Modeling and Qualitative Analysis. - Gaurav Nanda; Kerrie A. Douglas; David R. Waller; Hillary E. Merzdorf; Dan Goldwasser (IEEE Trans. Learn. Technol., 2021)

Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts. - Maryam Davoodi; Eric Waltenburg; Dan Goldwasser (ACL (1), 2022)

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks. - Nikhil Mehta 003; Maria Leonor Pacheco; Dan Goldwasser (ACL (1), 2022)

Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision. - Tunazzina Islam; Dan Goldwasser (IEEE Big Data, 2022)

Towards Explaining Subjective Ground of Individuals on Social Media. - Younghun Lee; Dan Goldwasser (EMNLP (Findings), 2022)

Hands-On Interactive Neuro-Symbolic NLP with DRaiL. - Maria Leonor Pacheco; Shamik Roy; Dan Goldwasser (EMNLP (Demos), 2022)

Twitter User Representation Using Weakly Supervised Graph Embedding. - Tunazzina Islam; Dan Goldwasser (ICWSM, 2022)

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 (NAACL-HLT, 2022)

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 (SP, 2022)

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. - Maria Leonor Pacheco; Tunazzina Islam; Lyle H. Ungar; Ming Yin; Dan Goldwasser (ACL (Findings), 2023)

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging. - Tunazzina Islam; Ruqi Zhang; Dan Goldwasser (AIES, 2023)

Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries. - Nishanth Sridhar Nakshatri; Siyi Liu; Sihao Chen; Dan Roth 001; Dan Goldwasser; Daniel Hopkins (EMNLP (Findings), 2023)

"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 (EMNLP (Findings), 2023)

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. - Nan Jiang 012; Thibaud Lutellier; Yiling Lou; Lin Tan 001; Dan Goldwasser; Xiangyu Zhang 001 (ICSE, 2023)

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook. - Tunazzina Islam; Shamik Roy; Dan Goldwasser (ICWSM, 2023)

Interactively Learning Social Media Representations Improves News Source Factuality Detection. - Nikhil Mehta 003; Dan Goldwasser (IJCNLP (Findings), 2023)

Towards Few-Shot Identification of Morality Frames using In-Context Learning. - Shamik Roy; Nishanth Sridhar Nakshatri; Dan Goldwasser (CoRR, 2023)

"We Demand Justice!": Towards Grounding Political Text in Social Context. - Rajkumar Pujari; Chengfei Wu; Dan Goldwasser (CoRR, 2023)

Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models. - Younghun Lee; Dan Goldwasser; Laura Schwab Reese (EACL (Findings), 2024)

Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media. - Nikhil Mehta 003; Dan Goldwasser (EMNLP (Findings), 2024)

"We Demand Justice!": Towards Social Context Grounding of Political Texts. - Rajkumar Pujari; Chengfei Wu; Dan Goldwasser (EMNLP, 2024)

An Interactive Framework for Profiling News Media Sources. - Nikhil Mehta 003; Dan Goldwasser (NAACL-HLT, 2024)

Analysis of State-Level Legislative Process in Enhanced Linguistic and Nationwide Network Contexts. - Maryam Davoodi; Dan Goldwasser (NAACL-HLT, 2024)

Uncovering Latent Themes of Messaging on Social Media by Integrating LLMs: A Case Study on Climate Campaigns. - Tunazzina Islam; Dan Goldwasser (CoRR, 2024)

"Hiding in Plain Sight": Designing Synthetic Dialog Generation for Uncovering Socially Situated Norms. - Chengfei Wu; Dan Goldwasser (CoRR, 2024)

Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation. - Tunazzina Islam; Dan Goldwasser (CoRR, 2024)

LLM-Human Pipeline for Cultural Context Grounding of Conversations. - Rajkumar Pujari; Dan Goldwasser (CoRR, 2024)

ConceptCarve: Dynamic Realization of Evidence. - Eylon Caplan; Dan Goldwasser (ACL (1), 2025)

Talking Point based Ideological Discourse Analysis in News Events. - Nishanth Sridhar Nakshatri; Nikhil Mehta 003; Siyi Liu; Sihao Chen; Daniel Hopkins; Dan Roth 001; Dan Goldwasser (ACL (Findings), 2025)

Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs. - Tunazzina Islam; Dan Goldwasser (ICWSM, 2025)

Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy. - Tunazzina Islam; Dan Goldwasser (NAACL (Findings), 2025)

LLM-Human Pipeline for Cultural Grounding of Conversations. - Rajkumar Pujari; Dan Goldwasser (NAACL (Long Papers), 2025)

Identifying Power Relations in Conversations using Multi-Agent Social Reasoning. - Zhaoqing Wu; Dan Goldwasser; Maria Leonor Pacheco; Leora Morgenstern (NAACL (Short Papers), 2025)

Can LLMs Assist Annotators in Identifying Morality Frames? - Case Study on Vaccination Debate on Social Media. - Tunazzina Islam; Dan Goldwasser (WebSci, 2025)

CoLa - Learning to Interactively Collaborate with Large LMs. - Abhishek Sharma; Dan Goldwasser (CoRR, 2025)

Splits! A Flexible Dataset for Evaluating a Model's Demographic Social Inference. - Eylon Caplan; Tania Chakraborty; Dan Goldwasser (CoRR, 2025)

Towards Characterizing Subjectivity of Individuals through Modeling Value Conflicts and Trade-offs. - Younghun Lee; Dan Goldwasser (CoRR, 2025)

EmoGist: Efficient In-Context Learning for Visual Emotion Understanding. - Ronald Seoh; Dan Goldwasser (CoRR, 2025)

VIBE: Can a VLM Read the Room? - Tania Chakraborty; Eylon Caplan; Dan Goldwasser (CoRR, 2025)

MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning. - Chengfei Wu; Ronald Seoh; Bingxuan Li; Liqiang Zhang; Fengrong Han; Dan Goldwasser (CoRR, 2025)