(view on Google Scholar)
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