ATSSC: Development of an approach based on soft computing for text summarization
详细信息 查看全文
- 作者：Madhuri A. Tayala ; madhuri.tayal@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Mukesh M. Raghuwanshib ; madhuri.tayal@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Latesh G. Malika ; madhuri.tayal@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Text document ; Summarization ; Semantic representation ; Clustering ; Reference resolution ; Evaluation
- 刊名：Computer Speech & Language
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：41
- 期：Complete
- 页码：214-235
- 全文大小：1926 K
文摘
- •
We developed the TIDA (Title Identification) Algorithm. It uses its own title identification mechanism using the web.
- •
The overall method has its own mechanism for sentence reduction and combination.
- •
We designed Semantic Word and Sentence Similarity mechanism for sentence reduction.
- •
We used Word disambiguation through parser mechanism.
- •
Tag based training as well as SVO rules were used for combining sentences.