tailieunhanh - Báo cáo khoa học: "Extracting Comparative Entities and Predicates from Texts Using Comparative Type Classification"

The automatic extraction of comparative information is an important text mining problem and an area of increasing interest. In this paper, we study how to build a Korean comparison mining system. Our work is composed of two consecutive tasks: 1) classifying comparative sentences into different types and 2) mining comparative entities and predicates. | Extracting Comparative Entities and Predicates from Texts Using Comparative Type Classification Seon Yang Department of Computer Engineering Dong-A University Busan Korea Youngjoong Ko Department of Computer Engineering Dong-A University Busan Korea yjko@ Abstract The automatic extraction of comparative information is an important text mining problem and an area of increasing interest. In this paper we study how to build a Korean comparison mining system. Our work is composed of two consecutive tasks 1 classifying comparative sentences into different types and 2 mining comparative entities and predicates. We perform various experiments to find relevant features and learning techniques. As a result we achieve outstanding performance enough for practical use. 1 Introduction Almost every day people are faced with a situation that they must decide upon one thing or the other. To make better decisions they probably attempt to compare entities that they are interesting in. These days many web search engines are helping people look for their interesting entities. It is clear that getting information from a large amount of web data retrieved by the search engines is a much better and easier way than the traditional survey methods. However it is also clear that directly reading each document is not a perfect solution. If people only have access to a small amount of data they may get a biased point of view. On the other hand investigating large amounts of data is a timeconsuming job. Therefore a comparison mining 1636 system which can automatically provide a summary of comparisons between two or more entities from a large quantity of web documents would be very useful in many areas such as marketing. We divide our work into two tasks to effectively build a comparison mining system. The first task is related to a sentence classification problem and the second is related to an information extraction problem. Task 1. Classifying comparative .