Files in this item
Files | Description | Format |
---|---|---|
application/pdf ![]() ![]() | (no description provided) |
Description
Title: | Learning and Inference for Information Extraction |
Author(s): | Yih, Wen-tau |
Doctoral Committee Chair(s): | Roth, Dan |
Department / Program: | Computer Science |
Discipline: | Computer Science |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | Ph.D. |
Genre: | Dissertation |
Subject(s): | Artificial Intelligence |
Abstract: | The proposed learning and inference frameworks have been applied to a variety of information extraction tasks, including entity extraction, entity/relation recognition, and semantic role labeling. |
Issue Date: | 2005 |
Type: | Text |
Language: | English |
Description: | 130 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005. |
URI: | http://hdl.handle.net/2142/81670 |
Other Identifier(s): | (MiAaPQ)AAI3182430 |
Date Available in IDEALS: | 2015-09-25 |
Date Deposited: | 2005 |
This item appears in the following Collection(s)
-
Dissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer Science -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois