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Building and refining rhetorical-semantic relation models

  • Alphabet Inc.
  • Columbia University

Research output: Contribution to conferencePaperpeer-review

33 Scopus citations

Abstract

We report results of experiments which build and refine models of rhetorical-semantic relations such as Cause and Contrast. We adopt the approach of Marcu and Echihabi (2002), using a small set of patterns to build relation models, and extend their work by refining the training and classification process using parameter optimization, topic segmentation and syntactic parsing. Using human-annotated and automatically-extracted test sets, we find that each of these techniques results in improved relation classification accuracy.

Original languageEnglish
Pages428-435
Number of pages8
StatePublished - 2007
EventHuman Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2007 - Rochester, NY, United States
Duration: Apr 22 2007Apr 27 2007

Conference

ConferenceHuman Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2007
Country/TerritoryUnited States
CityRochester, NY
Period04/22/0704/27/07

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