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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 160 papers

TitleStatusHype
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction—0
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction—0
Predicting Degrees of Technicality in Automatic Terminology Extraction—0
Progressive Self-Training with Discriminator for Aspect Term Extraction—0
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment—0
Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction—0
Recognition of non-domain phrases in automatically extracted lists of terms—0
Requirement Tracing using Term Extraction—0
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-ExtractionCode0
Constituency Lattice Encoding for Aspect Term ExtractionCode0
Aspect Term Extraction with History Attention and Selective TransformationCode0
My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text CollectionsCode0
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak SupervisionCode0
JATE 2.0: Java Automatic Term Extraction with Apache SolrCode0
Aspect-Based Argument MiningCode0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment AnalysisCode0
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network ArchitectureCode0
ConQueR: Contextualized Query Reduction using Search LogsCode0
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment AnalysisCode0
Bridge-Based Active Domain Adaptation for Aspect Term ExtractionCode0
Extracting Mathematical Concepts with Large Language ModelsCode0
Towards Learning Terminological Concept Systems from Multilingual Natural Language TextCode0
Feature-Less End-to-End Nested Term ExtractionCode0
Target-specified Sequence Labeling with Multi-head Self-attention for Target-oriented Opinion Words ExtractionCode0
preon: Fast and accurate entity normalization for drug names and cancer types in precision oncologyCode0
Show:102550
← PrevPage 6 of 7Next →
All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

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