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 Sentiment Model for Micro ReviewsCode0
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak SupervisionCode0
Aspect Term Extraction with History Attention and Selective TransformationCode0
Aspect-Based Argument MiningCode0
preon: Fast and accurate entity normalization for drug names and cancer types in precision oncologyCode0
Methods for Recognizing Nested TermsCode0
Bridge-Based Active Domain Adaptation for Aspect Term ExtractionCode0
JATE 2.0: Java Automatic Term Extraction with Apache SolrCode0
Improving Aspect Term Extraction with Bidirectional Dependency Tree RepresentationCode0
GROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship PublicationsCode0
Improving Aspect Extraction based on Rules through Deep Syntax-Semantics CommunicationCode0
Indo LEGO-ABSA: A Multitask Generative Aspect Based Sentiment Analysis for Indonesian LanguageCode0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment AnalysisCode0
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-ExtractionCode0
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble ApproachesCode0
Extracting Mathematical Concepts with Large Language ModelsCode0
Court Judgement Labeling Using Topic Modeling and Syntactic ParsingCode0
Constituency Lattice Encoding for Aspect Term ExtractionCode0
Feature-Less End-to-End Nested Term ExtractionCode0
A Term Extraction Approach to Survey Analysis in Health Care—0
A Study of Association Measures and their Combination for Arabic MWT Extraction—0
Annotation of negation in the IULA Spanish Clinical Record Corpus—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
Aspect Term Extraction for Sentiment Analysis: New Datasets, New Evaluation Measures and an Improved Unsupervised Method—0
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All datasetsAWARESemEval 2014 Task 4 Laptop

Benchmark Results

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