论文信息 - The University of Lethbridge Text Summarizer at DUC 2002

The University of Lethbridge Text Summarizer at DUC 2002

Text summarization addresses both the problem of selecting the most important portions of text and the problem of generating coherent summaries. We present in this paper the summarizer of the University of Lethbridge at DUC 2002, which is based on an efficient use of topical clues. The method we present addresses the problem of producing summaries, in the context of single and multiple documents.

Yllias Chali | Meru Brunn | Barbara Dufour

[1] Christopher D. Manning,et al. Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger , 2000, EMNLP.

[2] Michael Collins,et al. Three Generative, Lexicalised Models for Statistical Parsing , 1997, ACL.

[3] Freddy Y. Y. Choi. Advances in domain independent linear text segmentation , 2000, ANLP.

[4] Adwait Ratnaparkhi,et al. A Maximum Entropy Model for Part-Of-Speech Tagging , 1996, EMNLP.

[5] Graeme Hirst,et al. Lexical Cohesion Computed by Thesaural relations as an indicator of the structure of text , 1991, CL.