Extending Wikification: Nominal discovery, nominal linking, and the grounding of nouns
Chen, Liang-Wei
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https://hdl.handle.net/2142/99195
Description
Title
Extending Wikification: Nominal discovery, nominal linking, and the grounding of nouns
Author(s)
Chen, Liang-Wei
Issue Date
2017-12-05
Director of Research (if dissertation) or Advisor (if thesis)
Roth, Dan
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2018-03-13T15:21:06Z
Keyword(s)
Wikification
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.
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