I am a research scientist at Google in New York. I am part of the natural language understanding team.

Within NLP, my area of focus is the analysis of natural language semantics. I have also worked
on syntactic analysis, mostly investigating techniques to build systems without direct supervision.1,2

Before joining Google, I finished a Ph.D. at the Language Technologies Institute of the
School of Computer Science
 at Carnegie Mellon University.

I finished a Masters degree in Language Technologies at CMU in 2008 and an undergraduate degree in Computer Science and Engineering at the Indian Institute of Technology, Kharagpur in 2005.
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Photo by Densel Santhmayor.

   

 

Activity:

  • Area co-chair of EMNLP 2017 for "Text Mining and NLP Applications".
  • I am giving an invited talk at the Colloquium on NLP, Vision, ML at the University of North Carolina, Chapel Hill on October 26, 2016.
  • I am giving an invited talk at the LTI Colloquium at CMU on October 14, 2016.
  • I gave an invited talk at the NYU Semantics Group on September 30, 2016.
  • New preprint on a fast, parallelizable attention model for natural language inference (recently accepted at EMNLP 2016).
  • We have a paper at TACL on transforming syntactic dependencies to logical forms for semantic parsing.

Past Activity:

Contact Information:
 
Email: dipanjand@google.com
Address: 76 9th Avenue,
New York, NY 10011

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