Syntactic and semantic structure for opinion expression detection

Richard Johansson, Alessandro Moschitti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Citations (Scopus)

Abstract

We demonstrate that relational features derived from dependency-syntactic and semantic role structures are useful for the task of detecting opinionated expressions in natural-language text, significantly improving over conventional models based on sequence labeling with local features. These features allow us to model the way opinionated expressions interact in a sentence over arbitrary distances. While the relational features make the prediction task more computationally expensive, we show that it can be tackled effectively by using a reranker. We evaluate a number of machine learning approaches for the reranker, and the best model results in a 10-point absolute improvement in soft recall on the MPQA corpus, while decreasing precision only slightly.

Original languageEnglish
Title of host publicationCoNLL 2010 - Fourteenth Conference on Computational Natural Language Learning, Proceedings of the Conference
Pages67-76
Number of pages10
Publication statusPublished - 1 Dec 2010
Event14th Conference on Computational Natural Language Learning, CoNLL 2010 - Uppsala, Sweden
Duration: 15 Jul 201016 Jul 2010

Publication series

NameCoNLL 2010 - Fourteenth Conference on Computational Natural Language Learning, Proceedings of the Conference

Other

Other14th Conference on Computational Natural Language Learning, CoNLL 2010
CountrySweden
CityUppsala
Period15/7/1016/7/10

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

Cite this

Johansson, R., & Moschitti, A. (2010). Syntactic and semantic structure for opinion expression detection. In CoNLL 2010 - Fourteenth Conference on Computational Natural Language Learning, Proceedings of the Conference (pp. 67-76). (CoNLL 2010 - Fourteenth Conference on Computational Natural Language Learning, Proceedings of the Conference).