Entity Linking via Joint Encoding of Types, Descriptions, and Context 论文

2017引用 242
Topic ModelingNatural Language Processing TechniquesText and Document Classification Technologies

摘要

For accurate entity linking, we need to capture various information aspects of an entity, such as its description in a KB, contexts in which it is mentioned, and structured knowledge. Additionally, a linking system should work on texts from different domains without requiring domain-specific training data or hand-engineered features.