Rhetorics-based multi-document summarization

被引：23

作者：

Atkinson, John ^{[1
]}

Munoz, Ricardo ^{[1
]}

机构：

[1] Univ Concepcion, Dept Comp Sci, Concepcion, Chile

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2013年 / 40卷 / 11期

关键词：

Multi-document summarization; Semantic analysis; Statistical language models; Discourse Models; Machine Learning; Rhetorical roles;

D O I：

10.1016/j.eswa.2013.01.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new multi-document summarization framework which combines rhetorical roles and corpus-based semantic analysis is proposed. The approach is able to capture the semantic and rhetorical relationships between sentences so as to combine them to produce coherent summaries. Experiments were conducted on datasets extracted from web-based news using standard evaluation methods. Results show the promise of our proposed model as compared to state-of-the-art approaches. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：4346 / 4352

页数：7

共 18 条

[1]

Adam J., 2004, P 13 INT WORLD WID W, P344

[2]

Conroy J., 2006, P COLING ACL MAIN C, P152

[3] Semantic Summarization of Web Documents [J].

d'Acierno, A. ;

Moscato, V. ;

Persia, F. ;

Picariello, A. ;

Penta, A. .

2010 IEEE FOURTH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2010), 2010, :430-435

[4]

Dou Shen, 2004, Proceedings of Sheffield SIGIR 2004. The Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, P242

[5]

Goutte C., 2005, P 27 EUR C INF RETR

[6]

Hofmann Thomas, 1999, UNC ART INT UAI 99 S

[7]

Jian Tao S., 2005, P 28 ANN INT ACM SIG, P194

[8]

Jurafsky Daniel, 2008, INTRO NATURAL LANGUA

[9]

Kireyev K, 2008, P TEXT AN C

[10]

Kou T., 2006, IADIR INT C APPL COM, P612

← 1 2 →