Filling Knowledge Gaps in Text for Machine Reading

Texts are replete with gaps, information omitted since authors assume a certain amount of background knowledge. We define 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 information necessary for enrichment.

• Type: Journal
• Year: 2010
• Where: COLING
• Authors: Anselmo Peñas, Eduard H. Hovy
• Keywords: Available Background Knowledge, Background Knowledge, Background Knowledge Bases, COLING 2010, Computational Linguistics