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Sentence extraction using similar words

Suzuki Y., Fukumoto F.

Archives of Control Sciences

2005

Vol. 15, no. 4

665-672

In both written and spoken languages, we sometimes use different words in order to describe the same thing. For Instance, we use "candidacy and "running in an election" as the same meaning. This makes text classification, event tracking and text summarization difficult. In this paper, we propose a method to extract words which are semantically similar to each other accurately. Using this method, we extracted similar word pairs from newspaper articles. Furthermore, we performed sentence extraction from the newspaper articles using the extracted similar word pairs. We hypothesized that the headline is salient information of the newspaper article and presence of headline terms in the article can be used to detect salient sentences of news text. By using similar words in the headline, we obtained better results than that without using it. The results suggest that our method is useful for text summarization.