SOTAVerified

Term Extraction

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".

Papers

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Showing 141–150 of 160 papers

TitleStatusHype
Building and Applying Profiles Through Term Extraction—0
Technical Term Extraction Using Measures of Neology—0
Requirement Tracing using Term Extraction—0
A Study of Association Measures and their Combination for Arabic MWT Extraction—0
DLIREC: Aspect Term Extraction and Term Polarity Classification System—0
Jargon-Term Extraction by Chunking—0
Evaluating Term Extraction Methods for Interpreters—0
Automatic Term Extraction Combining Different Information (Extraction automatique de termes combinant diff\'erentes informations) [in French]—0
Bootstrapping Term Extractors for Multiple Languages—0
Hot Topics and Schisms in NLP: Community and Trend Analysis with Saffron on ACL and LREC Proceedings—0
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All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BaselineF1-Score0.82—Unverified
#ModelMetricClaimedVerifiedStatus
1Seq2Seq4ATEF1-Score0.8—Unverified