I am an assistant professor at the department of computer science at Purdue university. Before that I was a postdoctoral researcher at the University of Maryland in College Park. I completed my Ph.D. studies at the University of Illinois at Urbana-Champaign in the department of Computer Science.
I am currently working on applying machine learning approaches to natural language processing problems. I am broadly interested in connecting natural language with real world scenarios, and using them to guide natural language understanding.
Contact me if you are interested in natural language processing @ Purdue!
Selected Publications (full list)
- I-Ta Lee and Dan Goldwasser FEEL: Featured Event Embedding Learning. AAAI (2018)
- Xiao Zhang,Yong Jiang,Hao Peng,Kewei Tu and Dan Goldwasser Semi-supervised Structured Prediction with Neural CRF Autoencoder. EMNLP (2017)
- Kristen Johnson, Di Jin and Dan Goldwasser Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. 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)
- Dan Goldwasser and Xiao Zhang Understanding Satirical Articles Using Common-Sense 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. Proceedings of AAAI (2014)
- Snigdha Chaturvedi, Dan Goldwasser and Hal Daumé III. Predicting Instructor Intervention in MOOC forums. Proceedings of ACL (2014)
- Dan Goldwasser and Hal Daumé III. "I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues. Proceedings of ACL EACL (2014)
- Dan Goldwasser and Dan Roth. Learning from Natural Instructions. Machine Learning Journal (2014)
- Dan Goldwasser, Roi Reichart, James Clarke and Dan Roth. Confidence Driven Unsupervised Semantic Parsing. Proceedings of ACL (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, Dan Goldwasser, Vivek Srikumar, and Dan Roth. Discriminative learning over constrained latent representations. Proceedings of NAACL (2010)
"All our progress is an unfolding, like a vegetable bud. You have first an instinct, then an opinion, then a knowledge as the plant has root, bud, and fruit. Trust the instinct to the end, though you can render no reason."
- Ralph Waldo Emerson (1803 - 1882)