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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 160 papers

TitleStatusHype
Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction—0
Local Topology Measures of Contextual Language Model Latent Spaces With Applications to Dialogue Term Extraction—0
CoastTerm: a Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature—0
A Deep Convolutional Neural Network-based Model for Aspect and Polarity Classification in Hausa Movie Reviews—0
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment—0
Aspect and Opinion Term Extraction Using Graph Attention Network—0
Comparative Study of Domain Driven Terms Extraction Using Large Language Models—0
A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning—0
preon: Fast and accurate entity normalization for drug names and cancer types in precision oncologyCode0
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis—0
Geo-located Aspect Based Sentiment Analysis (ABSA) for Crowdsourced Evaluation of Urban Environments—0
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection—0
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble ApproachesCode0
Indo LEGO-ABSA: A Multitask Generative Aspect Based Sentiment Analysis for Indonesian LanguageCode0
Extracting Mathematical Concepts with Large Language ModelsCode0
ATESA-BÆRT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysis—0
ConQueR: Contextualized Query Reduction using Search LogsCode0
Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis—0
The Recent Advances in Automatic Term Extraction: A survey—0
Ensembling Transformers for Cross-domain Automatic Term Extraction—0
Unsupervised Term Extraction for Highly Technical Domains—0
Unsupervised Data Augmentation for Aspect Based Sentiment Analysis—0
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis—0
Court Judgement Labeling Using Topic Modeling and Syntactic ParsingCode0
Generating Complement Data for Aspect Term Extraction with GPT-2—0
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All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

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