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 126–150 of 160 papers

TitleStatusHype
Analysing the Impact of Supervised Machine Learning on Automatic Term Extraction: HAMLET vs TermoStat—0
Annotation of negation in the IULA Spanish Clinical Record Corpus—0
A Preliminary Survey of Semantic Descriptive Model for Images—0
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection—0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis—0
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels—0
Aspect and Opinion Term Extraction Using Graph Attention Network—0
Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation—0
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture—0
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 Study of Association Measures and their Combination for Arabic MWT Extraction—0
A Term Extraction Approach to Survey Analysis in Health Care—0
ATESA-BÆRT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysis—0
Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques—0
Automatic Term Extraction Combining Different Information (Extraction automatique de termes combinant diff\'erentes informations) [in French]—0
Automatic Term Extraction from Newspaper Corpora: Making the Most of Specificity and Common Features—0
Automatic Term Recognition Needs Multiple Evidence—0
AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation—0
BAN-ABSA: An Aspect-Based Sentiment Analysis dataset for Bengali and it's baseline evaluation—0
Bootstrapping Term Extractors for Multiple Languages—0
Building and Applying Profiles Through Term Extraction—0
Categorisation of Bulgarian Legislative Documents—0
CoastTerm: a Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature—0
Comparative Study of Domain Driven Terms Extraction Using Large Language Models—0
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All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

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