Information Extraction by Embedding HMM to the Set of Induced Linguistic Features

摘要

We propose and evaluate an approach for automatic information extraction(IE) by representing the extracted grammatical patterns as states of a Hidden Markov Model(HMM). Our experiments suggest that with the incorporation of simple extraction rules, the reliability and the performance of HMM based IE system are greatly enhanced.