Paper: No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities

ACL ID D12-1082
Title No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012
Authors

Entity linking systems link noun-phrase men- tions in text to their corresponding Wikipedia articles. However, NLP applications would gain from the ability to detect and type all entities mentioned in text, including the long tail of entities not prominent enough to have their own Wikipedia articles. In this paper we show that once the Wikipedia entities men- tioned in a corpus of textual assertions are linked, this can further enable the detection and fine-grained typing of the unlinkable en- tities. Our proposed method for detecting un- linkable entities achieves 24% greater accu- racy than a Named Entity Recognition base- line, and our method for fine-grained typing is able to propagate over 1,000 types from linked Wikipedia entities to unlinkable entities. De- tection and typing of unl...