Machine Learning for Information Extraction
Papers from the AAAI Workshop
Mary Elaine Califf, Program Chair
Technical Report WS-99-11 published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Extraction Patterns for Information Extraction Tasks: A Survey / 1
Ion Muslea
Examining Machine Learning for Adaptable End-to-End Information Extraction Systems / 7
Oren Glickman and Rosie Jones
Anti-Unification Based Learning of T-Wrappers for Information Extraction / 15
Bernd Thomas
WAVE: An Incremental Algorithm for Information Extraction / 21
Jonathan H. Aseltine
Learning to Extract Relations from MEDLINE / 25
Mark Craven
Information Extraction with HMMs and Shrinkage / 31
Dayne Freitag and Andrew Kachites McCallum
Learning Hidden Markov Model Structure for Information Extraction / 37
Kristie Seymore, Andrew McCallum, and Ronald Rosenfeld
Applying Type-Oriented ILP to IE Rule Generation / 43
Yutaka Sasaki
AAAI Digital Library
AAAI relies on your generous support through membership and donations. If you find these resources useful, we would be grateful for your support.