Use of Dynamic Passage Selection and Lexico-Semantic Patterns for Japanese Natural Language Question Answering(Special Issue on Text Processing for Information Access)

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概要

• 論文の詳細を見る

• This paper describes a practical Japanese natural language Question Answering system adopting effective selection of dynamic passages, Lexico-Semantic patterns (LSP), and Predictive Answer Indexing. By analyzing the previous TREC QA data, we defined a dynamic passage unit and developed a passage selection method suitable for Question Answering. Using LSP, we identify the answer type of a question and detect answer candidates without any deep linguistic analyses of the texts. To guarantee a short response time, Predictive Answer Indexing is combined into our overall system architecture. As a result of the three engineering techniques, our system showed excellent performance when evaluated by mean reciprocal rank (MRR) in NTCIR-3 QAC-1.

• 社団法人電子情報通信学会の論文
• 2003-09-01

著者

• Lee Seungwoo

  Nlp Lab.

• Lee Gary

  Nlp Lab.

関連論文

• Use of Dynamic Passage Selection and Lexico-Semantic Patterns for Japanese Natural Language Question Answering(Special Issue on Text Processing for Information Access)
• Learning Korean Named Entity by Bootstrapping with Web Resources(Natural Language Processing)

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