Extracting Word Sets with Non-Taxonomical Relation

At least two kinds of relations exist among related words: taxonomical relations and thematic relations. Both relations identify related words useful to language understanding and generation, information retrieval, and so on. However, although words with taxonomical relations are easy to identify from linguistic resources such as dictionaries and thesauri, words with thematic relations are difficult to identify because they are rarely maintained in linguistic resources. In this paper, we sought to extract thematically (non-taxonomically) related word sets among words in documents by employing case-marking particles derived from syntactic analysis. We then verified the usefulness of word sets with non-taxonomical relation that seems to be a thematic relation for information retrieval.

• Type: Conference
• Year: 2007
• Where: ACL
• Authors: Eiko Yamamoto, Hitoshi Isahara
• Keywords: ACL 2007, Computational Linguistics, Related Word, Taxonomical Relations, Thematic Relation