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 1–25 of 160 papers

TitleStatusHype
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge GraphsCode4
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment AnalysisCode3
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term ExtractionCode2
Large language models for aspect-based sentiment analysisCode1
SemRe-Rank: Improving Automatic Term Extraction By Incorporating Semantic Relatedness With Personalised PageRankCode1
Unsupervised Technical Domain Terms Extraction using Term ExtractorCode1
Learning Span-Level Interactions for Aspect Sentiment Triplet ExtractionCode1
InstructABSA: Instruction Learning for Aspect Based Sentiment AnalysisCode1
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment AnalysisCode1
Transforming Term Extraction: Transformer-Based Approaches to Multilingual Term Extraction Across DomainsCode1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment AnalysisCode1
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment AnalysisCode1
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment AnalysisCode1
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and DomainsCode1
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment AnalysisCode1
CheckEmbed: Effective Verification of LLM Solutions to Open-Ended TasksCode1
GROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship PublicationsCode0
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment AnalysisCode0
Improving Aspect Extraction based on Rules through Deep Syntax-Semantics CommunicationCode0
Extracting Mathematical Concepts with Large Language ModelsCode0
Feature-Less End-to-End Nested Term ExtractionCode0
Improving Aspect Term Extraction with Bidirectional Dependency Tree RepresentationCode0
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network ArchitectureCode0
Aspect-Based Argument MiningCode0
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All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

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