Learner models in online personalized educational experiences: an infrastructure and some experim [PDF]
, 2014 Technologies are changing the world around us, and education is not immune from its influence: the field of teaching and learning supported by the use of Information and Communication Technologies (ICTs), also known as Technology Enhanced Learning (TEL),
Colombetti, Marco +2 more
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Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction [PDF]
Kun Peng +8 more
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Sentence-level sentiment analysis based on supervised gradual machine learning. [PDF]
Sci Rep, 2023 Su J +5 more
europepmc +1 more source
DESS: DeBERTa Enhanced Syntactic-Semantic Aspect Sentiment Triplet Extraction [PDF]
Vishal Thenuwara, Nisansa de Silva
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Deep learning for aspect-based sentiment analysis: a review. [PDF]
PeerJ Comput Sci, 2022 Zhu L, Xu M, Bao Y, Xu Y, Kong X.
europepmc +1 more source
Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation [PDF]
, 2023 Guoxin Yu +4 more
openalex +1 more source
Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm. [PDF]
Diagnostics (Basel), 2023 Singh J +4 more
europepmc +1 more source
Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction [PDF]
Dongming Sheng +6 more
openalex +3 more sources
Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation Models
Introducing Entity-Aspect Sentiment Triplet Extraction (EASTE), a novel Aspect-Based Sentiment Analysis (ABSA) task which extends Target-Aspect-Sentiment Detection (TASD) by separating aspect categories (e.g., food#quality) into pre-defined entities (e.g.
Basic, Milos +2 more
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