Inferring the Scope of Negation and Speculation Via Dependency Analysis
- Ballesteros, Miguel
- Francisco, Virginia
- Díaz Esteban, Alberto
- Herrera, Jesús
- Gervás Gómez-Navarro, Pablo
ISSN: 1135-5948
Year of publication: 2011
Issue: 47
Pages: 315-316
Type: Article
More publications in: Procesamiento del lenguaje natural
Abstract
In the last few years negation and speculation scope classification systems have been developed successfully, most of them using machine–learning approaches. In this paper we present a competitive system that finds the scope of negation and speculation in sentences for English by means of syntactic dependency analysis without using machine–learning. A greedy algorithm first detects the cues (lexical markers that express negation and speculation), and second the words within the scope of these cues; finally, a Scope Finding algorithm uses these affected words to infer and to annotate the scope of the negation and the speculation. We tested our system with the Bioscope corpus, annotated with speculation and negation.
Bibliographic References
- Morante, Roser and Walter Daelemans. 2009a. Learning the scope of hedge cues in biomedical texts. In Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing.
- Morante, Roser and Walter Daelemans. 2009b. A metalearning approach to processing the scope of negation. In CoNLL.
- Morante, Roser and Caroline Sporleder, editors. 2010. Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, 07/2010.
- Vincze, Veronika, Gyorgy Szarvas, Richard Farkas, Gyorgy Mora, and Janos Csirik. 2008. The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes. BMC Bioinformatics, 9(Suppl 11):S9+.