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 101–125 of 160 papers

TitleStatusHype
Term-Based Extraction of Medical Information: Pre-Operative Patient Education Use Case—0
Feature-Less End-to-End Nested Term ExtractionCode0
Evaluating Automatic Term Extraction Methods on Individual Documents—0
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak SupervisionCode0
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction—0
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment AnalysisCode1
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and DomainsCode1
KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning—0
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-ExtractionCode0
SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction—0
Language-Agnostic Model for Aspect-Based Sentiment Analysis—0
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning—0
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks—0
Aspect Sentiment Model for Micro ReviewsCode0
Improving Aspect Term Extraction with Bidirectional Dependency Tree RepresentationCode0
Aspect Term Extraction with History Attention and Selective TransformationCode0
A Gold Standard for Multilingual Automatic Term Extraction from Comparable Corpora: Term Structure and Translation Equivalents—0
SemRe-Rank: Improving Automatic Term Extraction By Incorporating Semantic Relatedness With Personalised PageRankCode1
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews—0
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision—0
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture—0
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network ArchitectureCode0
Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets—0
Towards an integrated pipeline for aspect-based sentiment analysis in various domains—0
Unsupervised Aspect Term Extraction with B-LSTM \& CRF using Automatically Labelled Datasets—0
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All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

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