Keyword Extraction from Dialogue Sentences Using Semantic and Topical Relatedness

摘要

Dialogue reflects interests of the participants at that moment. Thus, it is desirable to extract keywords from each dialogue sentence as soon as they are spoken, because the keywords from dialogue can be used for various fields importantly such as personal assistant services, advertisement, and so on. This paper proposes a novel method of keyword extraction from dialogue sentences. The proposed method determines a word as a keyword by using semantic information of words in a dialogue sentence. That is, the proposed method extracts the keywords that are more semantically important within their sentences and more topically related to the dialogue. In the experiments on the ICSI meeting corpus, the proposed method achieves the state-of-the-art performance.