A method of measuring term representativeness: baseline method using co-occurrence distribution
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Extracting nested collocations
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Paradigmatic modifiability statistics for the extraction of complex multi-word terms
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Chinese term extraction using minimal resources
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A personalized recommendation system for electronic program guide
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In this paper, we propose a new idea for the automatic recognition of domain specific terms. Our idea is based on the statistics between a compound noun and its component single-nouns. More precisely, we focus basically on how many nouns adjoin the noun in question to form compound nouns. We propose several scoring methods based on this idea and experimentally evaluate them on the NTCIRI TMREC test collection. The results are very promising especially in the low recall area.