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University of Illinois at Urbana-Champaign
Toward Concept-Based Text Understanding and Mining
Abstract
dc:descriptionIn addition to entity identification, we also extend the generative probabilistic model to address a significant application that are related to concept-based text understanding and mining---semantic integration between text and databases, based on entity identification and tracking.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Li, Xin
- Contributors dc:contributor
-
- Roth, Dan
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3199063
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81685