Paper: Extracting Comparative Entities and Predicates from Texts Using Comparative Type Classification

ACL ID P11-1164
Title Extracting Comparative Entities and Predicates from Texts Using Comparative Type Classification
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

The automatic extraction of comparative in- formation 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.