Named Entity Recognition in Biomedical Texts using an HMM Model

  title={Named Entity Recognition in Biomedical Texts using an HMM Model},
  author={Shaojun Zhao},
Although there exists a huge number of biomedical texts online, there is a lack of tools good enough to help people get information or knowledge from them. Named Entity Recognition (NER) becomes very important for further processing like information retrieval, information extraction and knowledge discovery. We introduce a Hidden Markov Model (HMM) for NER, with a word similarity-based smoothing. Our experiment shows that the word similarity-based smoothing can improve the performance by using… CONTINUE READING
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