Paper: BEL: Bagging for Entity Linking

ACL ID C14-1196
Title BEL: Bagging for Entity Linking
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

With recent advances in the areas of knowledge engineering and information extraction, the task of linking textual mentions of named entities to corresponding ones in a knowledge base has received much attention. The rich, structured information in state-of-the-art knowledge bases can be leveraged to facilitate this task. Although recent approaches achieve satisfactory accuracy results, they typically suffer from at least one of the following issues: (1) the linking quality is highly sensitive to the amount of textual information; typically, long textual fragments are needed to capture the context of a mention, (2) the disambiguation uncertainty is not explicitly addressed and often only implicitly represented by the ranking of entities to which a mention could be linked, (3) complex, join...