Combining Lexical and Semantic Features for Short Text Classification-Reference-Cited by-同舟云学术

Combining Lexical and Semantic Features for Short Text Classification

Published:2013 Issue: Volume:22 Page:78-86
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Yang Lili,Li Chunping,Ding Qiang,Li Li

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. Mehran Sahami, Timothy D. Heilman. A web-based kernel function for measuring the similarity of short text snippets. Proceedings of the 15th international conference on World Wide Web, 2006.

2. D Bollegala, Y Matsuo, M Ishizuka. Measuring semantic similarity between words using web search engines. Proceedings of the 16th international conference on World Wide Web, 2007.

3. W. Yih and C. Meek. Improving similarity measures for short segments of text. Proceedings of the 22nd National Conference on Artificial Intelligence, 2007.

4. Ou Jin, Nathan N. Liu, Kai Zhao, Yong Yu, Qiang Yang. Transferring topical knowledge from auxiliary long texts for short text clustering. Proceedings of the 20th ACM international conference on Information and knowledge management, 2011.

5. Xuan-Hieu Phan, Le-Minh Nguyen, Susumu Horiguchi. Learning to classify short and sparse text & web with hidden topics from large-scale data collections. Proceeding of the 17th international conference on World Wide Web, 2008.

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