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Term Extraction
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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".
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
Terminators: Terms of Service Parsing and Auditing Agents
Methods for Recognizing Nested Terms
Extracting domain-specific terms using contextual word embeddings
A Preliminary Survey of Semantic Descriptive Model for Images
Efficient Terminology Integration for LLM-based Translation in Specialized Domains
Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews
Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction
Local Topology Measures of Contextual Language Model Latent Spaces With Applications to Dialogue Term Extraction
CoastTerm: a Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature
CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks
A Deep Convolutional Neural Network-based Model for Aspect and Polarity Classification in Hausa Movie Reviews
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment
Aspect and Opinion Term Extraction Using Graph Attention Network
Comparative Study of Domain Driven Terms Extraction Using Large Language Models
A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
Geo-located Aspect Based Sentiment Analysis (ABSA) for Crowdsourced Evaluation of Urban Environments
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
Indo LEGO-ABSA: A Multitask Generative Aspect Based Sentiment Analysis for Indonesian Language
Large language models for aspect-based sentiment analysis
Extracting Mathematical Concepts with Large Language Models
ATESA-BÆRT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysis
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
ConQueR: Contextualized Query Reduction using Search Logs
Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
The Recent Advances in Automatic Term Extraction: A survey
Ensembling Transformers for Cross-domain Automatic Term Extraction
Unsupervised Term Extraction for Highly Technical Domains
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis
Court Judgement Labeling Using Topic Modeling and Syntactic Parsing
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis
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