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 21–30 of 160 papers

Title	Date	Tasks	Status	Score
GROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship Publications	Sep 1, 2009	ArticlesTerm Extraction	CodeCode Available	5
Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation	May 21, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture	Sep 19, 2017	RelationRelation Extraction	CodeCode Available	5
Aspect-Based Argument Mining	Nov 1, 2020	Argument MiningTerm Extraction	CodeCode Available	5
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches	Nov 8, 2023	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Aspect Sentiment Model for Micro Reviews	Jun 14, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis	Apr 4, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Aspect Term Extraction with History Attention and Selective Transformation	May 2, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction	Jun 5, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Extracting Mathematical Concepts with Large Language Models	Aug 29, 2023	Term Extraction	CodeCode Available	5

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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