Term Extraction
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Benchmarks
AWARE
Most implemented
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Papers
Term-Centric Hierarchy Induction from Heterogeneous Corpora
Organizing knowledge from diverse text sources into interpretable hierarchies is crucial for tasks such as policy analysis, innovation monitoring, and exploratory domain mapping. Existing taxonomy induction methods typic…
Term ExtractionClinical Term Extraction using Open-Source Small Language Models
Clinical information for amyotrophic lateral sclerosis (ALS) care documented in unstructured clinical notes limits downstream analysis without extraction into structured formats. Open-source small language models with fe…
Term ExtractionPeacemaker at ATE-IT: Automatic term extraction from Italian text for waste management data using encoder model
The development of automatic term extraction has become increasingly important in modern technology. Automatic term extraction can be found in virtually every search engine that is currently available to users. Recent ad…
Term ExtractionSentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector
Online travel platforms generate vast volumes of user-generated hotel reviews, offering rich opportunities to understand traveler experiences at scale. However, transforming unstructured textual feedback into structured,…
Sentiment AnalysisTerm ExtractionLabel-Consistent Data Generation for Aspect-Based Sentiment Analysis Using LLM Agents
We propose an agentic data augmentation method for Aspect-Based Sentiment Analysis (ABSA) that uses iterative generation and verification to produce high quality synthetic training examples. To isolate the effect of agen…
Sentiment AnalysisData AugmentationTerm ExtractionEfficient Aspect Term Extraction using Spiking Neural Network
Aspect Term Extraction (ATE) identifies aspect terms in review sentences, a key subtask of sentiment analysis. While most existing approaches use energy-intensive deep neural networks (DNNs) for ATE as sequence labeling,…
Sentiment AnalysisTerm Extraction