Publications

(view on Google Scholar)


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


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