Paper: Queries as a Source of Lexicalized Commonsense Knowledge

ACL ID D14-1115
Title Queries as a Source of Lexicalized Commonsense Knowledge
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

The role of Web search queries has been demonstrated in the extraction of attributes of instances and classes, or of sets of re- lated instances and their class labels. This paper explores the acquisition of open- domain commonsense knowledge, usu- ally available as factual knowledge, from Web search queries. Similarly to previ- ous work in open-domain information ex- traction, knowledge extracted from text - in this case, from queries - takes the form of lexicalized assertions associated with open-domain classes. Experimental results indicate that facts extracted from queries complement, and have competitive accuracy levels relative to, facts extracted from Web documents by previous meth- ods.