Automatic term extraction (ATE) is one of the most important tasks in computational terminology. Its primary goal is to identify a set of text units, e.g. words, from a collection of texts from a specific subject field that represent the key concepts in that field. Term extraction is fundamental issue in natural language information processing. It has been applied in many other fields of natural language processing, such as Natural Language Generation, Computational Lexicography, Parsing, Corp...
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