Named Entity Recognition and Normalization in Tweets Towards Text Summarization

被引：0

作者：

Jabeen, Saima ^{[1
]}

Shah, Sajid ^{[1
]}

Latif, Asma ^{[2
]}

机构：

[1] Politecn Torino, Turin, Italy

[2] Univ Peshawar, Peshawar, Pakistan

来源：

2013 EIGHTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT (ICDIM) | 2013年

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D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an experimental study on Named Entity Recognition and Disambiguation (NERD) in social media context. Recent approaches presented for NERD in short context especially in tweets are discussed. The knowledge of named entity recognition is utilized in our underdeveloped work of multi-document summarization. We assessed that Yago knowledge-based Aida service for NERD is far better so far by considering a number of reasons. Some preliminary results of our summarizer are also presented that shows the effectiveness of using named entities in text summarization.

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页码：223 / 227

页数：5

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