.png){kind=icon}
返回
Rhetorics-based multi-document summarization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2013.01.017.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Multi-document summarization
Semantic analysis
Statistical language models
Discourse Models
Machine Learning
Rhetorical roles
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
.png){kind=icon}
Environmental strategies for a healthcare system with green technology investment and pandemic effects具有绿色技术投资和大流行效应的医疗保健系统的环境策略
OAAI
OAAI分享收藏分享收藏 没有更多内容
没有更多内容