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
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels—0
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings—0
Analysing the Impact of Supervised Machine Learning on Automatic Term Extraction: HAMLET vs TermoStat—0
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
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-ExtractionCode0
KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning—0
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
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
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction—0
Towards an integrated pipeline for aspect-based sentiment analysis in various domains—0
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All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

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