Paper: Fine-grained Semantic Typing of Emerging Entities

ACL ID P13-1146
Title Fine-grained Semantic Typing of Emerging Entities
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013

Methods for information extraction (IE) and knowledge base (KB) construction have been intensively studied. However, a largely under-explored case is tapping into highly dynamic sources like news streams and social media, where new entities are continuously emerging. In this paper, we present a method for discovering and se- mantically typing newly emerging out-of- KB entities, thus improving the freshness and recall of ontology-based IE and im- proving the precision and semantic rigor of open IE. Our method is based on a prob- abilistic model that feeds weights into in- teger linear programs that leverage type signatures of relational phrases and type correlation or disjointness constraints. Our experimental evaluation, based on crowd- sourced user studies, show our method performing sign...