swabha swayamdipta

5414 Gates-Hillman Complex

I am a second year PhD student in the Language Technologies Institute at Carnegie Mellon University. My advisors are Noah Smith and Chris Dyer. My research interests are primarily in structured prediction for natural language. I find the problem of efficient search in an exponential space of complex structures very interesting.

My current projects involve work on diversity in syntactic and semantic parsing.

In 2013, I graduated from a Masters program at Columbia University, where I was advised by Owen Rambow. During this period, I worked on detection of influence and power in online social media.


  • Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer and Noah A. Smith. A Dependency Parser for Tweets, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2014).

  • Sam Thomson, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer and Noah A. Smith. CMU: Arc-Factored, Discriminative Semantic Dependency Parsing Proceedings of SemEval (SemEval 2014).

  • Austin Matthews, Chris Dyer, Alon Lavie, Greg Hanneman, Waleed Ammar, Archna Bhatia, Swabha Swayamdipta, Eva Schlinger and Yulia Tsvetkov. The CMU Machine Translation Systems at WMT 2014. Proceedings of Workshop on Machine Translation (WMT 2014).

  • Swabha Swayamdipta and Owen Rambow. The Pursuit of Power and its Manifestation in Written Dialog. Proceedings of IEEE International Conference of Semantic Computing (ICSC 2012).