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Title:Extending Wikification: Nominal discovery, nominal linking, and the grounding of nouns
Author(s):Chen, Liang-Wei
Advisor(s):Roth, Dan
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Nominal entity recognition
Nominal entity disambiguation
Concept disambiguation
Natural language processing
Abstract:Mention discovery, entity linking, and grounding are crucial steps in natural language understanding. Compared with named entities, the detection and linking of nominals are relatively little studied but essential since the grounding of nouns enriches information for humans that read documents. In this thesis, we address those problems by extending the Illinois Cross-lingual Wikifier with nominal linking and sense disambiguation. We train a nominal detector with the dictionary post-process to discover nominal mentions and classify them into predefined type categories. For the nominal linking, we propose a co-reference model that captures the pairwise features between the named entity and the nominal, and we integrate it with several linking heuristics. Finally, we ground nouns to their Wikipedia titles by adjusting the ranker of the Wikifier with extra features and the training on common nouns. Our proposed approaches show competitive performances on the benchmark datasets.
Issue Date:2017-12-05
Rights Information:Copyright 2017 Liang-Wei Chen
Date Available in IDEALS:2018-03-13
Date Deposited:2017-12

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