Oxymoron generation using an association word corpus and a large-scale N-gram corpus

Hiroaki Yamane, Masafumi Hagiwara

研究成果: Article査読

2 被引用数 (Scopus)

抄録

Oxymorons are combinations of contradictory or incongruous words and are typically used to draw readers’ attention to a text. This paper proposes a method to generate oxymorons using an association word corpus and a large-scale N-gram corpus. First, adjectives are fed as input into the proposed system. Then, antonym pairs are extracted from the N-gram corpus. Using the antonym pairs and the association word corpus, candidates are generated. Candidates are finalized or eliminated according to their suitability and attractiveness. To determine suitability, pointwise mutual information (PMI) is employed to exclude grammatically unnatural expressions. To determine attractiveness, PMI, gap of frequency of the oxymoron candidates, and WordNet are used. The generated combinations of oxymorons indicate the potential effectiveness of the proposed method.

本文言語English
ページ(範囲)919-927
ページ数9
ジャーナルSoft Computing
19
4
DOI
出版ステータスPublished - 2015 4月

ASJC Scopus subject areas

  • ソフトウェア
  • 理論的コンピュータサイエンス
  • 幾何学とトポロジー

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