オオノ　トモヒロ   Ohno Tomohiro   大野　誠寛    所属   東京電機大学  未来科学部 情報メディア学科    東京電機大学大学院  未来科学研究科 情報メディア学専攻    東京電機大学大学院  先端科学技術研究科 情報通信メディア工学専攻    職種   准教授
言語種別	英語
発行・発表の年月	2006/07
形態種別	国際会議論文
査読	査読有り
標題	Dependency Parsing of Japanese Spoken Monologue Based on Clause Boundaries
執筆形態	共著
掲載誌名	Proceedings of the COLING-ACL2006
掲載区分	国外
巻・号・頁	pp.169-176
著者・共著者	Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Takehiko Maruyama, Yasuyoshi Inagaki
概要	Spoken monologues feature greater sentence length and structural complexity than do spoken dialogues. To achieve high parsing performance for spoken monologues, it could prove effective to simplify the structure by dividing a sentence into suitable language units. This paper proposes a method for dependency parsing of Japanese monologues based on sentence segmentation. In this method, the dependency parsing is executed in two stages: at the clause level and the sentence level. First, the dependencies within a clause are identified by dividing a sentence into clauses and executing stochastic dependency parsing for each clause. Next, the dependencies over clause boundaries are identified stochastically, and the dependency structure of the entire sentence is thus completed. An experiment using a spoken monologue corpus shows this method to be effective for efficient dependency parsing of Japanese monologue sentences.