Entity Linking and Slot Filling through Statistical Processing and Inference Rules.
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TL;DR
This paper presents the design and implementation of the hybrid statistical/rule-based IBM system that performs these two tasks: entity linking and slot filling.
Abstract
Information extraction is one of the fundamentally important tasks in Natural Language Processing, and as such it has been the subject of many evaluations and competitions. The latest such evaluation, the Knowledge Base Population (KBP) part of the Text Analysis Conference 2009, is focusing on two aspects: entity linking and slot filling. This paper presents the design and implementation of the hybrid statistical/rule-based IBM system that performs these two tasks. 1