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 26–50 of 160 papers

TitleStatusHype
ATESA-BÆRT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysis—0
ConQueR: Contextualized Query Reduction using Search LogsCode0
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis—0
InstructABSA: Instruction Learning for Aspect Based Sentiment AnalysisCode1
The Recent Advances in Automatic Term Extraction: A survey—0
Ensembling Transformers for Cross-domain Automatic Term Extraction—0
Unsupervised Term Extraction for Highly Technical Domains—0
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge GraphsCode4
Unsupervised Data Augmentation for Aspect Based Sentiment Analysis—0
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis—0
Court Judgement Labeling Using Topic Modeling and Syntactic ParsingCode0
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment AnalysisCode3
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment AnalysisCode1
Generating Complement Data for Aspect Term Extraction with GPT-2—0
Terminology extraction using co-occurrence patterns as predictors of semantic relevance—0
Cross-lingual and Cross-domain Transfer Learning for Automatic Term Extraction from Low Resource Data—0
A Dataset for Term Extraction in Hindi—0
D-Terminer: Online Demo for Monolingual and Bilingual Automatic Term Extraction—0
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction—0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment AnalysisCode0
AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation—0
Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis ModelCode0
Improving Aspect Extraction based on Rules through Deep Syntax-Semantics CommunicationCode0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis—0
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All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

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