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A method of page segmentation and recognition based on generalized hidden Markov model is present in this paper, according to the page content as well as the structural configuration. It can effective carry on the division to the homepage, thus distinguishes each homepage block part with GHMM. The experimental result indicated that, compares with the original page segmentation algorithm, this algorithm...
A TBL based post-processing approach is proposed for Japanese named entity recognition (NER) in this paper. Firstly, tuning rules are automatically acquired from the results of Japanese NER by error-driven learning. And then, the tuning rules are optimized according to given threshold conditions. After filtered, the rules are used to revise the results of Japanese NER. Above all, this approach could...
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