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!
Congratulations to Kristen Johnson!Her work analyzing political discourse on Twitter was accepted for COLING and was featured on Purdue Policy Research Institute blog
Using NLP to find protocol specifications bugsNSF EAGER awarded for a collaborative project with Cristina Nita-Rotaru. Read more about it here
Congratulations to Xiao (Cosmo) Zhang!His work on identifying satirical articles was accepted to TACL and will be presented at EMNLP.
Instructional Innovation Grantawarded for a collaborative project with Ming Ming Chiu
Selected Publications (full list)
- 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. To Appear COLING (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. 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)