Disease-Gene Relations Extraction using Domain Dictionaries and Named Entity Recognition Filtering(Text mining)

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概要

• 論文の詳細を見る

• We extracted disease-gene relations from MedLine using disease/gene dictionaries which are constructed from six public DBs. Since dictionary matching produces a large number of false positives, we developed a method of machine learning-based named entity recognition (NER) to filter out false recognitions of disease/gene names. We found that the performance of relation extraction depends on the performance of NER filtering and that the filtering improves the precision of relation extraction by 26.7% at the cost of a small reduction in recall.

• 一般社団法人情報処理学会の論文
• 2005-12-22

著者

• Chun Hong

  東大

• Tsujii Junichi

  東大

• Tsuruoka Yoshimasa

  東大

• Chun Hong-woo

  東大

関連論文

• Disease-Gene Relations Extraction using Domain Dictionaries and Named Entity Recognition Filtering(Text mining)

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