K. Seymore et al, AAAI-99

From Cohen Courses
Revision as of 21:12, 27 September 2011 by Tkumar (talk | contribs) (→‎Summary)
Jump to navigationJump to search

Citation

K. Seymore, A. McCallum, and R. Rosenfeld.Learning Hidden Markov Model structure for information extraction In Papers from the AAAI-99Workshop on Machine Learning for Information Extraction, pages 37-42, 1999

Online Version

[1]

Summary

In this Paper author explores the use of Hidden Markov Models for the Information tasks and how to learn the model given the labeled and unlabeled Data.The paper also states that model which has multiple states per field outperforms the one with one state per field.The said model was then applied for extracting fields from Research Papers.