Exploratory study of pattern mining for information extraction tasks.
Developing machine learning techniques that can recognize and understand natural language text have been a long-standing problem. Researchers in Information Extraction have shifted their focus to shallow text processing involving pattern matching from full-fledged natural language processing and tex...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/2050 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Summary: | Developing machine learning techniques that can recognize and understand natural language text have been a long-standing problem. Researchers in Information Extraction have shifted their focus to shallow text processing involving pattern matching from full-fledged natural language processing and text comprehension. The rapid growth of the World Wide Web has helped to boost the interest in developing Web-based information extraction using Wrapper. |
---|