Re ranking Models in Fine-grained Opinion Analysis

Richard Johansson, Alessandro Moschitti

Research output: Contribution to conferencePaper

17 Citations (Scopus)

Abstract

We describe the implementation of re ranking models for fine-grained opinion analysis - marking up opinion expressions and extracting opinion holders. The re ranking approach makes it possible to model complex relations between multiple opinions in a sentence, allowing us to represent how opinions interact through the syntactic and semantic structure. We carried out evaluations on the MPQA corpus, and the experiments showed significant improvements over a conventional system that only uses local information: for both tasks, our system saw recall boosts of over 10 points.

Original languageEnglish
Pages519-527
Number of pages9
Publication statusPublished - 1 Dec 2010
Event23rd International Conference on Computational Linguistics, Coling 2010 - Beijing, China
Duration: 23 Aug 201027 Aug 2010

Other

Other23rd International Conference on Computational Linguistics, Coling 2010
CountryChina
CityBeijing
Period23/8/1027/8/10

ASJC Scopus subject areas

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Linguistics and Language

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  • Cite this

    Johansson, R., & Moschitti, A. (2010). Re ranking Models in Fine-grained Opinion Analysis. 519-527. Paper presented at 23rd International Conference on Computational Linguistics, Coling 2010, Beijing, China.