Deep semantic analysis of text

  • Authors:
  • James F. Allen;Mary Swift;Will de Beaumont

  • Affiliations:
  • University of Rochester and Institute for Human and Machine Cognition, Pensacola;University of Rochester;Institute for Human and Machine Cognition, Pensacola

  • Venue:
  • STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
  • Year:
  • 2008

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Abstract

We describe a graphical logical form as a semantic representation for text understanding. This representation was designed to bridge the gap between highly expressive "deep" representations of logical forms and more shallow semantic encodings such as word senses and semantic relations. It preserves rich semantic content while allowing for compact ambiguity encoding and viable partial representations. We describe our system for semantic text processing, which has the TRIPS parser at the core, augmented with statistical preprocessing techniques and online lexical lookup. We also present an evaluation metric for the representation and use it to evaluate the performance of the TRIPS parser on the common task paragraphs.