Paper: Filling Knowledge Gaps in Text for Machine Reading

ACL ID C10-2113
Title Filling Knowledge Gaps in Text for Machine Reading
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

Texts are replete with gaps, information omitted since authors assume a certain amount of background knowledge. We de- fine the process of enrichment that fills these gaps. We describe how enrichment can be performed using a Background Knowledge Base built from a large corpus. We evaluate the effectiveness of various openly available background knowledge bases and we identify the kind of informa- tion necessary for enrichment.