Publications
- Kristen Johnson and Dan Goldwasser Classification of Moral Foundations in Microblog Political Discourse. ACL (2018)
- Chang Li, Aldo Porco and Dan Goldwasser Structured Representation Learning for Online Debate Stance Prediction. CoLING (2018)
- Kristen Johnson and Dan Goldwasser Modeling of Policy Frames for Morality Detection on Twitter. Widening NLP workshop, collocated with NAACL (2018)
- Gaurav Nanda, Nathan M. Hicks, David R. Waller, Kerrie Douglas and Dan Goldwasser Understanding Learners Opinion about Participation Certificates in Online Courses using Topic Modeling. EDM (2018)
- I-Ta Lee and Dan Goldwasser FEEL: Featured Event Embedding Learning. AAAI (2018)
- Christopher N. Gutierrez, Taegyu Kim, Raffaele Della Corte, Jeffrey Avery, Dan Goldwasser, Marcello Cinque and Saurabh Bagchi
Learning from the Ones that Got Away: Detecting New Forms of Phishing Attacks. IEEE Transactions on Dependable and Secure Computing (TDSC), (2018)
- Xiao Zhang,Yong Jiang,Hao Peng,Kewei Tu,Dan Goldwasser Semi-supervised Structured Prediction with Neural CRF Autoencoder. EMNLP (2017)
- Ayush Patwari, Dan Goldwasser and Saurabh Bagchi A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates. CIKM (2017), short papers
- Kristen Johnson, Di Jin and Dan Goldwasser Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. ACL (2017)
- Chang Li, Yi-Yu Lai, Jennifer Neville and Dan Goldwasser Joint Embedding Models for Textual and Social Analysis. The workshop on Deep Structured Prediction collocated with ICML (2017)
- I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Marie Johnson Xiao Zhang, Maria Leonor Pacheco and Dan Goldwasser PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings. The Workshop on Semantic Evaluations (SemEval) collocated with ACL (2017)
- Kristen Johnson, I-Ta Lee and Dan Goldwasser Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter. Second Workshop on NLP and Computational Social Science (NLP+CSS) collocated with ACL (2017)
- Kristen Johnson, Di Jin and Dan Goldwasser Modeling of Political Discourse Framing on Twitter. ICWSM (2017)
- Kristen Johnson and Dan Goldwasser "All I know about politics is what I read in Twitter": Weakly Supervised
Models for Extracting Politicians' Stances From Twitter. COLING (2016)
- Xiao Zhang, María Leonor Pacheco, Chang Li and Dan Goldwasser Introducing DRAIL - a Step Towards Declarative Deep Relational Learning EMNLP 16 Workshop on Structured Prediction for NLP. (2016)
- Yi-Yu Lai, Chang Li, Dan Goldwasser, and Jennifer Neville. Better Together: Combining Language and Social Interactions into a Shared Representation. In Proc. of TextGraphs-10, the Workshop on Graph-based Methods for Natural Language Processing. (2016)
- Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady Pranjal Daga, Di Jin, Ayuso Parolia and Dan Goldwasser. Adapting Event Embedding for Implicit Discourse Relation Recognition CoNLL Shared Task (2016)
- Dan Goldwasser and Xiao Zhang Understanding Satirical Articles Using Common-Sense To Appear TACL (2016)
- Snigdha Chaturvedi, Dan Goldwasser and Hal Daumé III, Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text. Proceedings of AAAI (2016)
- Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III and Lise Getoor Learning Latent Engagement Patterns of Students in Online Courses. AAAI (2014)
- Snigdha Chaturvedi, Dan Goldwasser and Hal Daumé III. Predicting Instructor Intervention in MOOC forums. ACL (2014)
- Dan Goldwasser and Hal Daumé III. "I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues. EACL (2014)
- Arti Ramesh, Dan Goldwasser, Burt Huang, Hal Daumé III and Lisa Getoor Uncovering Hidden Engagement Patterns for Predicting Learner Performance in MOOCs. In the
ACM Conference on Learning at Scale (L@S'14). Works-in-Progress paper. (2014)
- Dan Goldwasser and Hal Daumé III. Predicting Dialogue Outcomes over Structured Latent Representations. NIPS Workshop on Output Representation Learning (2013)
- Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor. Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic. NIPS Workshop on Data Driven Education (2013)
- Dan Goldwasser and Dan Roth. Learning from Natural Instructions. to appear in Machine Learning (2013)
- Dan Goldwasser and Dan Roth. Leveraging Domain-Independent Information in Semantic Parsing. Proceedings of ACL (2013)
- Dan Goldwasser and Dan Roth.
Learning from Natural Instructions. Proceedings of IJCAI (2011)
- Dan Goldwasser, Roi Reichart, James Clarke and Dan Roth. Confidence
Driven Unsupervised Semantic Parsing. Proceedings of ACL (2011)
- Dan Goldwasser and Dan Roth. Towards Natural Instruction based Learning. NIPS Workshop on Learning Semantics (2011)
- James Clarke, Dan Goldwasser, Ming-Wei Chang and Dan Roth. Driving Semantic Parsing from World's Response. Proceedings of CoNLL (2010)
- Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser and Dan Roth. Structured Output Learning with Indirect Supervision. Proceedings of ICML (2010)
- Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar and Dan Roth. Discriminative learning over constrained latent representations. Proceedings of NAACL (2010)
- 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. Relation Alignment for Textual Entailment Recognition. Proceedings of TAC (2009)
- Dan Goldwasser, Ming-Wei Chang, Yuancheng Tu and Dan Roth. Constraint Driven Transliteration Discovery. Book chapter in RANLP (2009)
- Jacob Eisenstein, James Clarke, Dan Goldwasser and Dan Roth. Reading to Learn: Constructing Features from Semantic Abstracts. Proceedings of EMNLP (2009)
- Ming-Wei Chang, Dan Goldwasser, Dan Roth and Yuancheng Tu. Unsupervised Constraint Driven Learning for Transliteration Discovery. Proceedings of NAACL (2009) [ppt]
- Dan Goldwasser and Dan Roth. Transliteration as Constrained Optimization. Proceedings of EMNLP-08 (2008)
- Dan Goldwasser, Ofer Strichman and Shai Fine. A Theory-Based Decision Heuristic for DPLL(T). Proceedings of FMCAD (2008)
- Dan Goldwasser and Dan Roth, Active Sample Selection for Named Entity Transliteration. Proceedings of ACL: HLT, Short Papers (2008)
- Massimo Zancanaro, Tsvi Kuflik, Zvi Boger, Dina Goren-Bar, and Dan Goldwasser. Analyzing museum visitors’ behavior patterns. Proceedings of User Modeling (2007)
- Shlomo Berkovsky, Dan Goldwasser, Tsvi Kuflik and Francesco Ricci. Identifying inter-domain similarities through content-based analysis of hierarchical web-directories. Proceedings of ECAI, Short papers (2006)
- Peleg Yiftachel, Dan Peled, Irit Hadar, and Dan Goldwasser. Resource allocation among development phases: an economic approach. Proceedings of EDSER (2006)