Recognizing complex negation on twitter

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

研究成果: Paper査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ544-552
ページ数9
出版ステータスPublished - 2015
イベント29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 - Shanghai, China
継続期間: 2015 10月 302015 11月 1

Other

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

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 言語学および言語

フィンガープリント

「Recognizing complex negation on twitter」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル