BBN at TREC7: Using Hidden Markov Models for Information Retrieval
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چکیده
We present a new method for information retrieval using hidden Markov models (HMMs) and relate our experience with this system on the TREC-7 ad hoc task. We develop a general framework for incorporating multiple word generation mechanisms within the same model. We then demonstrate that an extremely simple realization of this model substantially outperforms tf :idf ranking on both the TREC-6 and TREC7 ad hoc retrieval tasks. We go on to present several algorithmic re nements, including a novel method for performing blind feedback in the HMM framework. Together, these methods form a state-of-the-art retrieval system that ranked among the best on the TREC-7 ad hoc retrieval task, and showed extraordinary performance in development experiments on TREC-6.
منابع مشابه
BBN at TREC Using Hidden Markov Models for Information Retrieval
We present a new method for information retrieval using hidden Markov models HMMs and relate our experience with this system on the TREC ad hoc task We develop a general framework for incorporat ing multiple word generation mechanisms within the same model We then demonstrate that an extremely simple realization of this model substantially outper forms tf idf ranking on both the TREC and TREC a...
متن کاملBBN at TREC 7 : Using Hidden Markov
We present a new method for information retrieval using hidden Markov models (HMMs) and relate our experience with this system on the TREC-7 ad hoc task. We develop a general framework for incorporating multiple word generation mechanisms within the same model. We then demonstrate that an extremely simple realization of this model substantially outper-forms tf :idf ranking on both the TREC-6 an...
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تاریخ انتشار 1998