Recognizing complex negation on twitter

Junta Mizuno, Canasai Kruengkrai, Kiyonori Ohtake, Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Kentaro Inui

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

After the Great East Japan Earthquake in 2011, an abundance of false rumors were disseminated on Twitter that actually hindered rescue activities. This work presents a method for recognizing the negation of predicates on Twitter to find Japanese tweets that refute false rumors. We assume that the predicate "occur" is negated in the sentence "The guy who tweeted that a nuclear explosion occurred has watched too many SF movies." The challenge is in the treatment of such complex negation. We have to recognize a wide range of complex negation expressions such as "it is theoretically impossible that..." and "The guy who... watched too many SF movies." We tackle this problem using a combination of a supervised classifier and clusters of n-grams derived from large un-Annotated corpora. The n-gram clusters give us a gain of about 22% in F-score for complex negations.

Original languageEnglish
Pages544-552
Number of pages9
Publication statusPublished - 2015 Jan 1
Event29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 - Shanghai, China
Duration: 2015 Oct 302015 Nov 1

Other

Other29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015
CountryChina
CityShanghai
Period15/10/3015/11/1

ASJC Scopus subject areas

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

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  • Cite this

    Mizuno, J., Kruengkrai, C., Ohtake, K., Hashimoto, C., Torisawa, K., Kloetzer, J., & Inui, K. (2015). Recognizing complex negation on twitter. 544-552. Paper presented at 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015, Shanghai, China.