natural-language-processing-16
Term Extraction
3260 papers • 126 benchmarks • 313 datasets
Term Extraction, or Automated Term Extraction (ATE), is about extraction domain-specific terms from natural language text. For example, the sentence “We meta-analyzed mortality using random-effect models” contains the domain-specific single-word terms "meta-analyzed", "mortality" and the multi-word term "random-effect models".
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SemEval 2014 Task 4 Laptop
SemEval 2014 Task 4 Laptop
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