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 51–75 of 160 papers

TitleStatusHype
A Gold Standard for Multilingual Automatic Term Extraction from Comparable Corpora: Term Structure and Translation Equivalents—0
Cross-lingual and Cross-domain Transfer Learning for Automatic Term Extraction from Low Resource Data—0
Creation of a bottom-up corpus-based ontology for Italian Linguistics—0
Aspect Term Extraction for Sentiment Analysis: New Datasets, New Evaluation Measures and an Improved Unsupervised Method—0
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture—0
Dataset Creation and Evaluation of Aspect Based Sentiment Analysis in Telugu, a Low Resource Language—0
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation—0
Computational Aspects of Frame-based Meaning Representation in Terminology—0
Developing an Arabic Infectious Disease Ontology to Include Non-Standard Terminology—0
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis—0
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach—0
DLIREC: Aspect Term Extraction and Term Polarity Classification System—0
Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation—0
Analysing the Impact of Supervised Machine Learning on Automatic Term Extraction: HAMLET vs TermoStat—0
AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis—0
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings—0
Comparative Study of Domain Driven Terms Extraction Using Large Language Models—0
CoastTerm: a Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature—0
Categorisation of Bulgarian Legislative Documents—0
Building and Applying Profiles Through Term Extraction—0
Aspect and Opinion Term Extraction Using Graph Attention Network—0
Bootstrapping Term Extractors for Multiple Languages—0
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels—0
A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set—0
A Deep Convolutional Neural Network-based Model for Aspect and Polarity Classification in Hausa Movie Reviews—0
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All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

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