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
Aspect Term Extraction for Sentiment Analysis: New Datasets, New Evaluation Measures and an Improved Unsupervised Method—0
Aspect Term Extraction using Graph-based Semi-Supervised Learning—0
A Gold Standard for Multilingual Automatic Term Extraction from Comparable Corpora: Term Structure and Translation Equivalents—0
A Study of Association Measures and their Combination for Arabic MWT Extraction—0
A Term Extraction Approach to Survey Analysis in Health Care—0
Developing an Arabic Infectious Disease Ontology to Include Non-Standard Terminology—0
A Deep Convolutional Neural Network-based Model for Aspect and Polarity Classification in Hausa Movie Reviews—0
CoastTerm: a Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature—0
Aspect and Opinion Term Extraction Using Graph Attention Network—0
A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set—0
Creation of a bottom-up corpus-based ontology for Italian Linguistics—0
Cross-lingual and Cross-domain Transfer Learning for Automatic Term Extraction from Low Resource Data—0
BAN-ABSA: An Aspect-Based Sentiment Analysis dataset for Bengali and it's baseline evaluation—0
Bootstrapping Term Extractors for Multiple Languages—0
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels—0
Building and Applying Profiles Through Term Extraction—0
Categorisation of Bulgarian Legislative Documents—0
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis—0
AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation—0
Comparative Study of Domain Driven Terms Extraction Using Large Language Models—0
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings—0
Automatic Term Recognition Needs Multiple Evidence—0
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation—0
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture—0
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