Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems
Big data, Volume 5, Issue 1, 2017, Pages 19-31.
Liberal Information Extractionfine-grained entity typingmulti-level entity mention and representationunsupervised learning
The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propose a novel unsupervised entity-typing fra...More
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