Social network extraction from texts: a thesis proposal

  • Authors:
  • Apoorv Agarwal

  • Affiliations:
  • Columbia University

  • Venue:
  • HLT-SS '11 Proceedings of the ACL 2011 Student Session
  • Year:
  • 2011

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Abstract

In my thesis, I propose to build a system that would enable extraction of social interactions from texts. To date I have defined a comprehensive set of social events and built a preliminary system that extracts social events from news articles. I plan to improve the performance of my current system by incorporating semantic information. Using domain adaptation techniques, I propose to apply my system to a wide range of genres. By extracting linguistic constructs relevant to social interactions, I will be able to empirically analyze different kinds of linguistic constructs that people use to express social interactions. Lastly, I will attempt to make convolution kernels more scalable and interpretable.