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

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2018

Author dc:creator

• Chen, Liang-Wei

Contributors dc:contributor

• Roth, Dan

• Wikification
• Nominal entity recognition
• Nominal entity disambiguation
• Concept disambiguation
• Natural language processing

Statement dc:rights

• Copyright 2017 Liang-Wei Chen

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/99195

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/99195