Abstract
As compared to many other techniques used in natural language processing, hidden markov models (HMMs) are an extremely flexible tool and has been successfully applied to a wide variety of information extraction tasks. This work focus on webpage perceptive through model of Hierarchical Conditional Random Fields (i.e. HCRF) and offer results in free text segmentation and labeling. This paper specially addresses the problem of research community of academic people integration (SIGNET-similar interest group) through perceiving the entities of them. Keywords—HMM, HCRF, Named-Entity, SIGNET
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