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AIRS
2006
Springer
14 years 11 months ago
Text Mining for Medical Documents Using a Hidden Markov Model
Abstract. We propose a semantic tagger that provides high level concept information for phrases in clinical documents. It delineates such information from the statements written by...
Hyeju Jang, Sa-Kwang Song, Sung-Hyon Myaeng
GFKL
2007
Springer
152views Data Mining» more  GFKL 2007»
15 years 4 months ago
Supporting Web-based Address Extraction with Unsupervised Tagging
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
Berenike Loos, Chris Biemann
AAAI
2004
14 years 11 months ago
Discriminating Among Word Meanings by Identifying Similar Contexts
Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
Amruta Purandare, Ted Pedersen
IR
2007
14 years 9 months ago
Lightweight natural language text compression
Variants of Huffman codes where words are taken as the source symbols are currently the most attractive choices to compress natural language text databases. In particular, Tagged...
Nieves R. Brisaboa, Antonio Fariña, Gonzalo...