"More like these": growing entity classes from seeds

We present a corpus-based approach to the class expansion task. For a given set of seed entities we use co-occurrence statistics taken from a text collection to define a membership function that is used to rank candidate entities for inclusion in the set. We describe an evaluation framework that uses data from Wikipedia. The performance of our class extension method improves as the size of the text collection increases. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval; H.3.4 Systems and Software; H.4 [Information Systems Applications]: H.4.2 Types of Systems; H.4.m Miscellaneous General Terms Algorithms, Measurement, Performance Keywords Lexical acquisition, List expansion

• Type: Conference
• Year: 2007
• Where: CIKM
• Authors: Luís Sarmento, Valentin Jijkoun, Maarten de Rijke, Eugenio Oliveira
• Keywords: CIKM 2007, Class Expansion Task, Class Extension Method, Text Collection