Viewpoint-based Text Categorization and Summarization
نویسنده
چکیده
科学技術や文化の急速な発展によって,言葉や事柄についてWorld Wide Web上のツールを用い て調べる機会が増えている.検索エンジンは情報の量が多いものの,情報が統制されておらず質が 低い.人手で編集する事典は情報の質が高いものの,情報の量が制限される.両者の長所を統合 するために,筆者らは,Web情報や特許情報から説明テキストを抽出し,体系化する研究を行っ ている.本研究は,ある見出し語について説明した複数のテキストを観点に基づいて分類するこ とで,多面的な要約を生成する手法を提案する.動物名や病名といった見出し語の種類によって 説明に必要な観点が異なるため,人手による手法では大規模化が困難である.そこで,Wikipedia から見出し語の種類ごとに観点の構造に関するテンプレートを抽出する.さらに,Wikipediaの 記事を機械学習のデータとして利用して,与えられた説明テキストを適切な観点に分類する.評 価実験によって本手法の有効性を示す.
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تاریخ انتشار 2008