Paper: A Generative Entity-Mention Model for Linking Entities with Knowledge Base

ACL ID P11-1095
Title A Generative Entity-Mention Model for Linking Entities with Knowledge Base
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

Linking entities with knowledge base (entity linking) is a key issue in bridging the textual data with the structural knowledge base. Due to the name variation problem and the name ambiguity problem, the entity linking decisions are critically depending on the heterogenous knowledge of entities. In this paper, we propose a generative probabilistic model, called entity- mention model, which can leverage heterogenous entity knowledge (including popularity knowledge, name knowledge and context knowledge) for the entity linking task. In our model, each name mention to be linked is modeled as a sample generated through a three-step generative story, and the entity knowledge is encoded in the distribution of entities in document P(e), the distribution of possible names of a spec...