Generating Indicative-Informative Summaries with SumUM

Computational Linguistics - Tập 28 Số 4 - Trang 497-526 - 2002
Horacio Saggion1, Guy Lapalme2
1University of Sheffield, Department of Computer Science, University of Sheffield, Sheffield, England, United Kingdom, S1 4DP.
2Université de Montréal, Département d'Informatique et Recherche Opérationnelle, Université de Montréal, CP 6128, Succ Centre-Ville, Montréal, Québec, Canada, H3C 3J7.

Tóm tắt

We present and evaluate SumUM, a text summarization system that takes a raw technical text as input and produces an indicative informative summary. The indicative part of the summary identifies the topics of the document, and the informative part elaborates on some of these topics according to the reader's interest. SumUM motivates the topics, describes entities, and defines concepts. It is a first step for exploring the issue of dynamic summarization. This is accomplished through a process of shallow syntactic and semantic analysis, concept identification, and text regeneration. Our method was developed through the study of a corpus of abstracts written by professional abstractors. Relying on human judgment, we have evaluated indicativeness, informativeness, and text acceptability of the automatic summaries. The results thus far indicate good performance when compared with other summarization technologies.

Từ khóa


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Thông tin
Thông tin xuất bản

Computational Linguistics

Tập 28 Số 4

497-526

Thông tin tác giả