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
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390282679452249088
-
- NII論文ID
- 10008829888
-
- NII書誌ID
- AN10472659
-
- ISSN
- 21858314
- 13407619
-
- NDL書誌ID
- 5544185
-
- 本文言語コード
- ja
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可