tailieunhanh - Báo cáo khoa học: "Comparable Entity Mining from Comparative Questions"

Comparing one thing with another is a typical part of human decision making process. However, it is not always easy to know what to compare and what are the alternatives. To address this difficulty, we present a novel way to automatically mine comparable entities from comparative questions that users posted online. To ensure high precision and high recall, we develop a weakly-supervised bootstrapping method for comparative question identification and comparable entity extraction by leveraging a large online question archive. . | Comparable Entity Mining from Comparative Questions Shasha Li1 Chin-Yew Lin2 Young-In Song2 Zhoujun Li3 1National University of Defense Technology Changsha China Microsoft Research Asia Beijing China 3Beihang University Beijing China shashali@ cyl yosong @ lizj@ Abstract Comparing one thing with another is a typical part of human decision making process. However it is not always easy to know what to compare and what are the alternatives. To address this difficulty we present a novel way to automatically mine comparable entities from comparative questions that users posted online. To ensure high precision and high recall we develop a weakly-supervised bootstrapping method for comparative question identification and comparable entity extraction by leveraging a large online question archive. The experimental results show our method achieves F1-measure of in comparative question identification and in comparable entity extraction. Both significantly outperform an existing state-of-the-art method. 1 Introduction Comparing alternative options is one essential step in decision-making that we carry out every day. For example if someone is interested in certain products such as digital cameras he or she would want to know what the alternatives are and compare different cameras before making a purchase. This type of comparison activity is very common in our daily life but requires high knowledge skill. Magazines such as Consumer Reports and PC Magazine and online media such as strive in providing editorial comparison content and surveys to satisfy this need. In the World Wide Web era a comparison activity typically involves search for relevant 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. For example given an enti ty Nokia N95 a cellphone we want to .