K. Seymore et al, AAAI-99
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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
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Summary
In this Paper author explores the use of Hidden Markov Models for the Information tasks.Paper focuses on two tasks firstly how to learn the model from the Data Itself and it investigates the role of labeled and unlabeled Data in Model training.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.
