Bootstrapped extraction of class attributes

As an alternative to previous studies on extracting class attributes from unstructured text, which consider either Web documents or query logs as the source of textual data, A bootstrapped method extracts class attributes simultaneously from both sources, using a small set of seed attributes. The method improves extraction precision and also improves attribute relevance across 40 test classes. Categories and Subject Descriptors I.2.7 [Computing Methodologies]: Natural Language Processing General Terms Algorithms, Experimentation

• Type: Conference
• Year: 2009
• Where: WWW
• Authors: Joseph Reisinger, Marius Pasca
• Keywords: Class Attributes, Internet Technology, Method Extracts Class, Method Improves Extraction, WWW 2009