A Novel Way To Automatically Mine Comparable Entities From Comparative Questions
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 11
Abstract
A comparison activity usually contains search for applicable web pages containing information about the targeted products, find competing products, read reviews and identify pros and cons. In this paper we focus on finding a set of comparable entities given a user’s input entity. Comparing one thing with another is a archetypal part of human decision making process. Conversely it is not all the time simple to know what to compare and what are the substitutes. To deal with this complexity we present a novel way to automatically mine comparable entities from comparative questions that users posted online. To make sure high accuracy and high recall we develop a weakly-supervised bootstrapping method for comparative question recognition and similar entity extraction by leveraging a large online question archive. Both considerably do better than an existing state-of-the-art method.
Authors and Affiliations
P Ujwala Sai, N Rajesh Babu
Keywords
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