Supervised matching of comments with news article segments

Sil, Dyut Kumar and Sengamedu , Srinivasan H and Bhattacharyya, Chiranjib (2011) Supervised matching of comments with news article segments. In: 20th ACM international conference on Information and knowledge management, 2011, New York, NY, USA.

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Abstract

Comments constitute an important part of Web 2.0. In this paper, we consider comments on news articles. To simplify the task of relating the comment content to the article content the comments are about, we propose the idea of showing comments alongside article segments and explore automatic mapping of comments to article segments. This task is challenging because of the vocabulary mismatch between the articles and the comments. We present supervised and unsupervised techniques for aligning comments to segments the of article the comments are about. More specifically, we provide a novel formulation of supervised alignment problem using the framework of structured classification. Our experimental results show that structured classification model performs better than unsupervised matching and binary classification model.

Item Type:	Conference Paper
Publisher:	Association for Computing Machinery
Additional Information:	Copyright of this article belongs to Association for Computing Machinery.
Keywords:	Comments;Structured Classification;Enrichment;ESA
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	18 Mar 2013 10:05
Last Modified:	18 Mar 2013 10:05
URI:	http://eprints.iisc.ac.in/id/eprint/46018

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