Dan Goldwasser

Assistant Professor

PhD UIUC, 2012

Personal Page

Publications

• Twitter User Representation using Weakly Supervised Graph Embedding
  Tunazzina Islam, Dan Goldwasser
  International AAAI Conference on Web and Social Media (ICWSM), 2022
  
• Understanding Politics via Contextualized Discourse Processing
  Rajkumar Pujari and Dan Goldwasser
  Empirical Methods in Natural Language Processing (EMNLP), 2021
  
• Identifying Morality Frames in Political Tweets using Relational Learning
  Shamik Roy, Maria Leonor Pacheco and Dan Goldwasser
  Empirical Methods in Natural Language Processing (EMNLP), 2021
  
• Using Social and Linguistic Information to Adapt Pretrained Representations for Political Perspective Identification
  Chang Li, Dan Goldwasser
  Findings of the Association for Computational Linguistics (ACL-findings), 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 Transactions on Learning Technologies (IEEE TLT), 2021
  
• Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory
  Shamik Roy, Dan Goldwasser
  Workshop on Natural Language Processing for Social Media (SocialNLP), 2021
  
• Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks
  Nikhil Mehta, Dan Goldwasser
  Workshop on Interactive Learning for Natural Language Processing (InterNLP), 2021
  
• Analysis of Twitter Users’ Lifestyle Choices using Joint Embedding Model
  Tunazzina Islam, Dan Goldwasser
  International AAAI Conference on Web and Social Media (ICWSM), 2021
  
• MEAN: Multi-head Entity Aware Attention Networkfor Political Perspective Detection in News Media
  Chang Li, Dan Goldwasser
  Proceedings of the Fourth Workshop on NLP for Internet Freedom Censorship, Disinformation, and Propaganda (NLP4IF), 2021
  
• Modeling Human Mental States with an Entity-based Narrative Graph
  I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser
  North American Chapter of the Association for Computational Linguistics (NAACL), 2021
  
• Randomized Deep Structured Prediction for Discourse-Level Processing
  Maria Leonor Pacheco, Manuel Widmoser, Jean Honorio, Dan Goldwasser
  European Chapter of the Association for Computational Linguistics (EACL), 2021
  
• Modeling Content and Context with Deep Relational Learning
  Maria Leonor Pacheco, Dan Goldwasser
  Transactions of the Association for Computational Linguistics (TACL), 2020
  
• Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media
  Shamik Roy, Dan Goldwasser
  Empirical Methods in Natural Language Processing (EMNLP), 2020
  
• Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations
  I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser
  Findings of the Empirical Methods in Natural Language Processing (EMNLP findings), 2020
  
• “where is this relationship going?”: Understanding Relationship Trajectories in Narrative Text
  Keen You, Dan Goldwasser
  Joint Conference on Lexical and Computational Semantics (*SEM), 2020
  
• Predicting Stance Change Using Modular Architectures
  Aldo Porco, Dan Goldwasser
  International Conference on Computational Linguistics (CoLING), 2020
  
• Semi-supervised Autoencoding Projective Dependency Parsing
  Xiao Zhang, Dan Goldwasser
  International Conference on Computational Linguistics (CoLING), 2020
  
• Cross-Lingual Document Retrieval with Smooth Learning
  Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang
  International Conference on Computational Linguistics (CoLING), 2020
  
• Semi-supervised Parsing with a Variational Autoencoding Parser
  Xiao Zhang, Dan Goldwasser
  The International Conference on Parsing Technologies (IWPT), 2020
  
• Identifying Collaborative Conversations using Latent Discourse Behaviors
  Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser
  The Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2020
  
• Understanding the Language of Political Agreement and Disagreement in Legislative Texts
  Maryam Davoodi, Eric Waltenburg, Dan Goldwasser
  Association for Computational Linguistics (ACL), 2020
  
• Sentiment Tagging with Partial Labels using Modular Architectures
  Xiao Zhang, Dan Goldwasser
  Association for Computational Linguistics (ACL), 2019
  
• Multi-Relational Script Learning for Discourse Relations
  I-Ta Lee, Dan Goldwasser
  Association for Computational Linguistics (ACL), 2019
  
• Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media
  Chang Li, Dan Goldwasser
  Association for Computational Linguistics (ACL), 2019
  
• Improving Natural Language Interaction with Robots Using Advice
  Nikhil Mehta, Dan Goldwasser
  North American Chapter of the Association for Computational Linguistics (NAACL), 2019
  
• Using Natural Language Relations between Answer Choices for Machine Comprehension
  Rajkumar Pujari, Dan Goldwasser
  North American Chapter of the Association for Computational Linguistics (NAACL), 2019
  
• TransConv: Relationship Embedding in Social Networks
  Yi-Yu Lai, Jennifer Neville, Dan Goldwasser
  Association for the Advancement of Artificial Intelligence (AAAI), 2019
  
• Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols
  Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru
  Innovative Applications of Artificial Intelligence (IAAI), 2019
  
• Modeling Behavioral Aspects of Social Media Discourse for Moral Classification
  Kristen Johnson, Dan Goldwasser
  NLP+CSS workshop collocated with NAACL, 2019
  
• Classification of Moral Foundations in Microblog Political Discourse.
  Kristen Johnson, Dan Goldwasser
  Association of Computational Linguistics (ACL), 2018
  
• Structured Representation Learning for Online Debate Stance Prediction.
  Chang Li, Aldo Porco, Dan Goldwasser
  International Conference on Computational Linguistics (COLING), 2018
  
• Modeling of Policy Frames for Morality Detection on Twitter
  Kristen Johnson, Dan Goldwasser
  Widening NLP workshop, collocated with NAACL, 2018
  
• Understanding Learners Opinion about Participation Certificates in Online Courses using Topic Modeling
  Gaurav Nanda, Nathan M. Hicks, David R. Waller, Dan Goldwasser, Kerrie Douglas
  Educational Data Mining (EDM),
  
• FEEL: Featured Event Embedding Learning.
  I-Ta Lee, Dan Goldwasser
  Association for the Advancement of Artificial Intelligence (AAAI), 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 Transactions on Dependable and Secure Computing (TDSC), 2018
  
• Leveraging Representation and Inference through Deep Relational Learning
  Maria Leonor Pacheco, Ibrahim Dalal, Dan Goldwasser
  NeurIPS Workshop on Relational Representation Learning, 2018
  
• Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields
  Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume, Lise Getoor
  IEEE Transactions on Learning Technologies (TLT), 2018
  
• Semi-supervised Structured Prediction with Neural CRF Autoencoder
  Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser
  Empirical Methods in Natural Language Processing (EMNLP), 2017
  
• A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates.
  Ayush Patwari, Dan Goldwasser, Saurabh Bagchi
  Conference on Information and Knowledge Management (CIKM), 2017
  
• Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter
  Kristen Johnson, Di Jin, Dan Goldwasser
  Association for Computational Linguistics (ACL), 2017
  
• Joint Embedding Models for Textual and Social Analysis
  Chang Li, Yi-Yu Lai, Jennifer Neville, Dan Goldwasser
  The workshop on Deep Structured Prediction collocated with ICML, 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
  The Workshop on Semantic Evaluations (SemEval) collocated with ACL, 2017
  
• Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter.
  Kristen Johnson, I-Ta Lee, Dan Goldwasser
  Second Workshop on NLP and Computational Social Science (NLP+CSS) collocated with ACL, 2017
  
• Modeling of Political Discourse Framing on Twitter
  Kristen Johnson, Di Jin, Dan Goldwasser
  International AAAI Conference on Web and Social Media (ICWSM), 2017
  
• All I know about politics is what I read in Twitter: Weakly Supervised Models for Extracting Politicians' Stances From Twitter
  Kristen Johnson, Dan Goldwasser
  International Conference on Computational Linguistics (COLING), 2016
  
• Introducing DRAIL - a Step Towards Declarative Deep Relational Learning
  Xiao Zhang, María Leonor Pacheco, Chang Li, Dan Goldwasser
  EMNLP 16 Workshop on Structured Prediction for NLP, 2016
  
• Better Together: Combining Language and Social Interactions into a Shared Representation
  Yi-Yu Lai, Chang Li, Dan Goldwasser, Jennifer Neville.
  TextGraphs-10, the Workshop on Graph-based Methods for Natural Language Processing, 2016
  
• Adapting Event Embedding for Implicit Discourse Relation Recognition
  Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady Pranjal Daga, Di Jin, Ayuso Parolia, Dan Goldwasser
  CoNLL Shared Task, 2016
  
• Understanding Satirical Articles Using Common-Sense
  Dan Goldwasser, Xiao Zhang
  Transactions of the Association for Computational Linguistics (TACL), 2016
  
• Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text.
  Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
  Association for the Advancement of Artificial Intelligence (AAAI), 2016
  
• Learning Latent Engagement Patterns of Students in Online Courses
  Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
  Association for the Advancement of Artificial Intelligence (AAAI), 2014
  
• Predicting Instructor Intervention in MOOC forums
  Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III.
  Association for Computational Linguistics (ACL), 2014
  
• I Object! Modeling Latent Pragmatic Effects in Courtroom Dialogues.
  Dan Goldwasser, Hal Daumé III.
  European Chapter of the Association for Computational Linguistics (EACL), 2014
  
• Uncovering Hidden Engagement Patterns for Predicting Learner Performance in MOOCs
  Arti Ramesh, Dan Goldwasser, Burt Huang, Hal Daumé III, Lisa Getoor
  ACM Conference on Learning at Scale (L@S'14). Works-in-Progress paper., 2014
  
• Predicting Dialogue Outcomes over Structured Latent Representations.
  Dan Goldwasser, Hal Daumé III.
  NIPS Workshop on Output Representation Learning, 2013
  
• Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic.
  Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor.
  NIPS Workshop on Data Driven Education, 2013
  
• Learning from Natural Instructions
  Dan Goldwasser, Dan Roth
  Machine Learning (MLJ), 2013
  
• Leveraging Domain-Independent Information in Semantic Parsing
  Dan Goldwasser, Dan Roth
  Association for Computational Linguistics (ACL), 2013
  
• Learning from Natural Instructions
  Dan Goldwasser, Dan Roth
  International Joint Conference on Artificial Intelligence (IJCAI), 2011
  
• Confidence Driven Unsupervised Semantic Parsing.
  Dan Goldwasser, Roi Reichart, James Clarke, Dan Roth
  Association for Computational Linguistics (ACL), 2011
  
• Driving Semantic Parsing from World's Response
  James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth.
  Computational Natural Language Learning (CoNLL), 2010
  
• Structured Output Learning with Indirect Supervision.
  Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth
  International Conference on Machine Learning (ICML), 2010
  
• Discriminative learning over constrained latent representations
  Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Dan Roth
  North American Chapter of the Association for Computational Linguistics (NAACL), 2010
  
• Relation Alignment for Textual Entailment Recognition
  Mark Sammons, VG Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua Rule, Quang Do, Dan Roth
  Text Analysis Conference (TAC), 2009
  
• Constraint Driven Transliteration Discovery
  Dan Goldwasser, Ming-Wei Chang, Yuancheng Tu, Dan Roth
  Book chapter in RANLP, 2009
  
• Reading to Learn: Constructing Features from Semantic Abstracts
  Jacob Eisenstein, James Clarke, Dan Goldwasser, Dan Roth
  Empirical Methods in Natural Language Processing (EMNLP), 2009
  
• Unsupervised Constraint Driven Learning for Transliteration Discovery
  Ming-Wei Chang, Dan Goldwasser, Dan Roth, Yuancheng Tu
  North American Chapter of the Association for Computational Linguistics (NAACL), 2009
  
• Transliteration as Constrained Optimization
  Dan Goldwasser, Dan Roth
  Empirical Methods in Natural Language Processing (EMNLP), 2008
  
• A Theory-Based Decision Heuristic for DPLL(T)
  Dan Goldwasser, Ofer Strichman, Shai Fine
  Formal Methods in Computer-Aided Design (FMCAD), 2008
  
• Active Sample Selection for Named Entity Transliteration
  Dan Goldwasser, Dan Roth
  Association for Computational Linguistics (ACL), Short Papers, 2008
  
• Analyzing museum visitors’ behavior patterns
  Massimo Zancanaro, Tsvi Kuflik, Zvi Boger, Dina Goren-Bar, Dan Goldwasser
  International Conference on User Modeling (UM), 2007
  
• Identifying inter-domain similarities through content-based analysis of hierarchical web-directories
  Shlomo Berkovsky, Dan Goldwasser, Tsvi Kuflik, Francesco Ricci
  European Conference on Artificial Intelligence (ECAI), Short papers, 2006