Dan Goldwasser

According to our database, Dan Goldwasser authored at least 93 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Uncovering Latent Themes of Messaging on Social Media by Integrating LLMs: A Case Study on Climate Campaigns.

Tunazzina Islam, Dan Goldwasser

CoRR, 2024

Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models.

Younghun Lee, Dan Goldwasser, Laura Schwab Reese

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

"We Demand Justice!": Towards Grounding Political Text in Social Context.

Rajkumar Pujari, Chengfei Wu, Dan Goldwasser

CoRR, 2023

An Interactive Framework for Profiling News Media Sources.

Nikhil Mehta, Dan Goldwasser

CoRR, 2023

Towards Few-Shot Identification of Morality Frames using In-Context Learning.

Shamik Roy, Nishanth Sridhar Nakshatri, Dan Goldwasser

CoRR, 2023

Interactively Learning Social Media Representations Improves News Source Factuality Detection.

Nikhil Mehta, Dan Goldwasser

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook.

Tunazzina Islam, Shamik Roy, Dan Goldwasser

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair.

Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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, Dan Goldwasser, Daniel Hopkins

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging.

Tunazzina Islam, Ruqi Zhang, Dan Goldwasser

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections.

Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Twitter User Representation Using Weakly Supervised Graph Embedding.

Tunazzina Islam, Dan Goldwasser

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Hands-On Interactive Neuro-Symbolic NLP with DRaiL.

Maria Leonor Pacheco, Shamik Roy, Dan Goldwasser

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Explaining Subjective Ground of Individuals on Social Media.

Younghun Lee, Dan Goldwasser

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision.

Tunazzina Islam, Dan Goldwasser

Proceedings of the IEEE International Conference on Big Data, 2022

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks.

Nikhil Mehta, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts.

Maryam Davoodi, Eric Waltenburg, Dan Goldwasser

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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 Content and Context with Deep Relational Learning.

Maria Leonor Pacheco, Dan Goldwasser

Trans. Assoc. Comput. Linguistics, 2021

Modeling Human Mental States with an Entity-based Narrative Graph.

I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model.

Tunazzina Islam, Dan Goldwasser

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Identifying Morality Frames in Political Tweets using Relational Learning.

Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Understanding Politics via Contextualized Discourse Processing.

Rajkumar Pujari, Dan Goldwasser

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Randomized Deep Structured Prediction for Discourse-Level Processing.

Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Using Social and Linguistic Information to Adapt Pretrained Representations for Political Perspective Identification.

Chang Li, Dan Goldwasser

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory.

Shamik Roy, Dan Goldwasser

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021

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

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

Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information.

Tunazzina Islam, Dan Goldwasser

CoRR, 2020

"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text.

Keen You, Dan Goldwasser

Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Identifying Collaborative Conversations using Latent Discourse Behaviors.

Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser

Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Semi-supervised Parsing with a Variational Autoencoding Parser.

Xiao Zhang, Dan Goldwasser

Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media.

Shamik Roy, Dan Goldwasser

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations.

I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Semi-supervised Autoencoding Projective Dependency Parsing.

Xiao Zhang, Dan Goldwasser

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Predicting Stance Change Using Modular Architectures.

Aldo Porco, Dan Goldwasser

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Cross-Lingual Document Retrieval with Smooth Learning.

Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information.

Tunazzina Islam, Dan Goldwasser

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Understanding the Language of Political Agreement and Disagreement in Legislative Texts.

Maryam Davoodi, Eric Waltenburg, Dan Goldwasser

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

An Anomaly Contribution Explainer for Cyber-Security Applications.

Xiao Zhang, Manish Marwah, I-Ta Lee, Martin F. Arlitt, Dan Goldwasser

CoRR, 2019

Using Natural Language Relations between Answer Choices for Machine Comprehension.

Rajkumar Pujari, Dan Goldwasser

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Improving Natural Language Interaction with Robots Using Advice.

Nikhil Mehta, Dan Goldwasser

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

ACE - An Anomaly Contribution Explainer for Cyber-Security Applications.

Xiao Zhang, Manish Marwah, I-Ta Lee, Martin F. Arlitt, Dan Goldwasser

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Sentiment Tagging with Partial Labels using Modular Architectures.

Xiao Zhang, Dan Goldwasser

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media.

Chang Li, Dan Goldwasser

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-Relational Script Learning for Discourse Relations.

I-Ta Lee, Dan Goldwasser

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

TransConv: Relationship Embedding in Social Networks.

Yi-Yu Lai, Jennifer Neville, Dan Goldwasser

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols.

Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

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

Proceedings of the 11th International Conference on Educational Data Mining, 2018

Structured Representation Learning for Online Debate Stance Prediction.

Chang Li, Aldo Porco, Dan Goldwasser

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Classification of Moral Foundations in Microblog Political Discourse.

Kristen Johnson, Dan Goldwasser

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

FEEL: Featured Event Embedding Learning.

I-Ta Lee, Dan Goldwasser

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings.

I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Johnson, Xiao Zhang, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Modeling of Political Discourse Framing on Twitter.

Kristen Johnson, Di Jin, Dan Goldwasser

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Semi-supervised Structured Prediction with Neural CRF Autoencoder.

Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates.

Ayush Patwari, Dan Goldwasser, Saurabh Bagchi

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter.

Kristen Johnson, Di Jin, Dan Goldwasser

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter.

Kristen Johnson, I-Ta Lee, Dan Goldwasser

Proceedings of the Second Workshop on NLP and Computational Social Science, 2017

2016

Understanding Satirical Articles Using Common-Sense.

Dan Goldwasser, Xiao Zhang

Trans. Assoc. Comput. Linguistics, 2016

Better Together: Combining Language and Social Interactions into a Shared Representation.

Yi-Yu Lai, Chang Li, Dan Goldwasser, Jennifer Neville

Proceedings of TextGraphs@NAACL-HLT 2016: the 10th Workshop on Graph-based Methods for Natural Language Processing, 2016

Introducing DRAIL - a Step Towards Declarative Deep Relational Learning.

Xiao Zhang, Maria Leonor Pacheco, Chang Li, Dan Goldwasser

Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, 2016

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

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, 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

Proceedings of the COLING 2016, 2016

Identifying Stance by Analyzing Political Discourse on Twitter.

Kristen Johnson, Dan Goldwasser

Proceedings of the First Workshop on NLP and Computational Social Science, 2016

Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text.

Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

Learning from natural instructions.

Dan Goldwasser, Dan Roth

Mach. Learn., 2014

Visual analytics of MOOCs at maryland.

Zhengzheng Xu, Dan Goldwasser, Benjamin B. Bederson, Jimmy Lin

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Uncovering hidden engagement patterns for predicting learner performance in MOOCs.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

"I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues.

Dan Goldwasser, Hal Daumé III

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Understanding MOOC Discussion Forums using Seeded LDA.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 2014

Predicting Instructor's Intervention in MOOC forums.

Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Learning Latent Engagement Patterns of Students in Online Courses.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Leveraging Domain-Independent Information in Semantic Parsing.

Dan Goldwasser, Dan Roth

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Learning from natural instructions

Dan Goldwasser

PhD thesis, 2012

Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP.

Dan Goldwasser, Vivek Srikumar, Dan Roth

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

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

Structured prediction with indirect supervision.

Ming-Wei Chang, James Clarke, Dan Goldwasser, Lev-Arie Ratinov, Vivek Srikumar, Dan Roth

Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

Confidence Driven Unsupervised Semantic Parsing.

Dan Goldwasser, Roi Reichart, James Clarke, Dan Roth

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Discriminative Learning over Constrained Latent Representations.

Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Structured Output Learning with Indirect Supervision.

Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Driving Semantic Parsing from the World's Response.

James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth

Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

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, Dan Roth

Proceedings of the Second Text Analysis Conference, 2009

Unsupervised Constraint Driven Learning For Transliteration Discovery.

Ming-Wei Chang, Dan Goldwasser, Dan Roth, Yuancheng Tu

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Reading to Learn: Constructing Features from Semantic Abstracts.

Jacob Eisenstein, James Clarke, Dan Goldwasser, Dan Roth

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008

A Theory-Based Decision Heuristic for DPLL(T).

Dan Goldwasser, Ofer Strichman, Shai Fine

Proceedings of the Formal Methods in Computer-Aided Design, 2008

Transliteration as Constrained Optimization.

Dan Goldwasser, Dan Roth

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Active Sample Selection for Named Entity Transliteration.

Dan Goldwasser, Dan Roth

Proceedings of the ACL 2008, 2008

2007

Analyzing Museum Visitors' Behavior Patterns.

Massimo Zancanaro, Tsvi Kuflik, Zvi Boger, Dina Goren-Bar, Dan Goldwasser

Proceedings of the User Modeling 2007, 11th International Conference, 2007

2006

Identifying Inter-Domain Similarities Through Content-Based Analysis of Hierarchical Web-Directories.

Shlomo Berkovsky, Dan Goldwasser, Tsvi Kuflik, Francesco Ricci

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006