conroy2001tex Text summarization via hidden markov models

Conroy, J. M. and O'leary, D. P. (2001). Text summarization via hidden markov models. In Proceedings of SIGIR '01, pages 406{407, New York, NY, USA.

Ada juga dari penulis ini versi tech report yg lebih panjang, namun bukan hanya HMM: "Text Summarization via Hidden Markov Models and Pivoted QR Matrix Decomposition"

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[das2007survey]

"In contrast with previous approaches, that were mostly feature-based and nonsequential, Conroy and O'leary (2001) modeled the problem of extracting a sentence from a document using a hidden Markov model (HMM). The basic motivation for using a sequential model is to account for local dependencies between sentences. Only three features were used: position of the sentence in the document (built into
the state structure of the HMM), number of terms in the sentence, and likeliness of the sentence terms given the document terms. .... dst"