語い的連鎖に基づく要約の情報検索タスクを用いた評価

  • 望月 源
    北陸先端科学技術大学院大学情報科学研究科
  • 奥村 学
    東京工業大学精密工学研究所

書誌事項

タイトル別名
  • Evaluation of Summaries Based on Lexical Chains Using Information Retrieval Task
  • ゴイテキ レンサ ニ モトヅク ヨウヤク ノ ジョウホウ ケンサク タスク オ モチイタ ヒョウカ

この論文をさがす

抄録

The importance of the automatic summarization research is now increasing with the growing availability of on-line documents. In information retrieval systems, summaries can be used as the display of the retrieval results, in order for users to quickly and accurately judge the relevance of the documents which are returned as a result of the users'query. Here, rather than producing a generic summary, the summary that reflects the user's topic of interest expressed in the query would be considered as more suitable. This type of summary is often called‘query-biased summary’. In this paper, we show that our previously proposed passage extraction method based on lexical chains can be used to produce better query-biased summaries for information retrieval systems. To evaluate the effectiveness of our method, a task-based evaluation scheme is adopted. The results from the experiments support that querybiased summaries by lexical chains outperform others in the accuracy of subject's relevance judgments. Furthermore, to establish a better evaluation methodology, we also investigate and describe the problems that arise from the experimental design.

収録刊行物

  • 自然言語処理

    自然言語処理 7 (4), 63-77, 2000

    一般社団法人 言語処理学会

被引用文献 (5)*注記

もっと見る

参考文献 (18)*注記

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ