NDLI: Mobile phone name extraction from internet forums: a semi-supervised approach

Content Provider	Springer Nature Link
Author	Yao, Yangjie Sun, Aixin
Copyright Year	2015
Abstract	Collecting users’ feedback on products from Internet forums is challenging because users often mention a product with informal abbreviations or nicknames. In this paper, we propose a method named Gren to recognize and normalize mobile phone names from domain-specific Internet forums. Instead of directly recognizing phone names from sentences as in most named entity recognition tasks, we propose an approach to generating candidate names as the first step. The candidate names capture short forms, spelling variations, and nicknames of products, but are not noise free. To predict whether a candidate name mention in a sentence indeed refers to a specific phone model, a Conditional Random Field (CRF)-based name recognizer is developed. The CRF model is trained by using a large set of sentences obtained in a semi-automatic manner with minimal manual labeling effort. Lastly, a rule-based name normalization component maps a recognized name to its formal form. Evaluated on more than 4000 manually labeled sentences with about 1000 phone name mentions, Gren outperforms all baseline methods. Specifically, it achieves precision and recall of 0.918 and 0.875 respectively, with the best feature setting. We also provide detailed analysis of the intermediate results obtained by each of the three components in Gren.
Starting Page	783
Ending Page	805
Page Count	23
File Format	PDF
ISSN	1386145X
Journal	World Wide Web
Volume Number	19
Issue Number	5
e-ISSN	15731413
Language	English
Publisher	Springer US
Publisher Date	2015-07-11
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mobile phone Name recognition and normalization Internet forum Information Systems Applications (incl. Internet) Database Management Operating Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software Hardware and Architecture

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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