Link Detection Task Applications in WEB3.0

カテゴリ: 部門大会

論文No: GS16-2

グループ名: 【C】平成21年電気学会電子・情報・システム部門大会講演論文集

発行日: 2009/09/03

タイトル(英語): Link Detection Task Applications in WEB3.0

著者名: 朱敏 (徳島大学),任 福継(徳島大学)

著者名(英語): min Kyu(Tokushima University),fuji Nin(Tokushima University)

キーワード: 相関検出|トピック検出|トピックトラッキング|言語モデル|link detection|topic detection|topic tracking|language model

要約(日本語): Link detection technology will soon become a platform and carrier of information access and retrieval,it is a method of applying semantic domain language model to link detection, based on the structure relation among contents and the semantic distribution in a story, and also verifies the influence of the strategy incorporating dependency parsing into semantic description. one of the focuses of current research is friendly and intelligently use of LDT client interface, in order to achieve this goal, we can use a model which is similar with dynamic model to build a system.

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