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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 151–160 of 160 papers

Title	Date	Tasks	Status
Methods for Recognizing Nested Terms	Apr 22, 2025	Dialogue Evaluationnamed-entity-recognition	CodeCode Available
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches	Nov 8, 2023	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model	Nov 18, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
GROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship Publications	Sep 1, 2009	ArticlesTerm Extraction	CodeCode Available
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension	Nov 1, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
Improving Aspect Extraction based on Rules through Deep Syntax-Semantics Communication	Nov 16, 2021	Aspect ExtractionTerm Extraction	CodeCode Available
Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation	May 21, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
Aspect Sentiment Model for Micro Reviews	Jun 14, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
Indo LEGO-ABSA: A Multitask Generative Aspect Based Sentiment Analysis for Indonesian Language	Nov 3, 2023	Aspect-Based Sentiment AnalysisAspect Sentiment Triplet Extraction	CodeCode Available
Court Judgement Labeling Using Topic Modeling and Syntactic Parsing	Aug 3, 2022	Constituency ParsingDependency Parsing	CodeCode Available

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All datasets AWARE SemEval 2014 Task 4 Laptop

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Baseline	F1-Score	0.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Seq2Seq4ATE	F1-Score	0.8	—	Unverified