University of Illinois Urbana-Champaign

Extending Wikification: Nominal discovery, nominal linking, and the grounding of nouns

Chen, Liang-Wei

Content Files
CHEN-THESIS-2017.pdf

Permalink

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.
Graduation Semester
2017-12
Type of Resource
text
Permalink
http://hdl.handle.net/2142/99195
Copyright and License Information
Copyright 2017 Liang-Wei Chen

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