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 |
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言語種別 | 英語 |
発行・発表の年月 | 2007/07 |
形態種別 | 学術研究論文 |
査読 | 査読有り |
標題 | Dependency Parsing of Japanese Spoken Monologue Using Clause Boundaries |
執筆形態 | 共著 |
掲載誌名 | Language Resources and Evaluation |
掲載区分 | 国外 |
巻・号・頁 | 40(3-4),pp.263-279 |
著者・共著者 | Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Takehiko Maruyama, Hideki Tanaka, Yasuyoshi Inagaki |
概要 | Spoken monologues feature greater sentence length and structural complexity than spoken dialogues. To achieve high-parsing performance for spoken monologues, simplifying the structure by dividing a sentence into suitable language units could prove effective. This paper proposes a method for dependency parsing of Japanese spoken monologues based on sentence segmentation. In this method, dependency parsing is executed in two stages: at the clause level and the sentence level. First, dependencies within a clause are identified by dividing a sentence into clauses and executing stochastic dependency parsing for each clause. Next, dependencies across clause boundaries are identified stochastically, and the dependency structure of the entire sentence is thus completed. An experiment using a spoken monologue corpus shows the effectiveness of this method for efficient dependency parsing of Japanese monologue sentences. |