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Sentiment analysis: Comprehensive reviews, recent advances, and open challenges
Sentiment analysis (SA) aims to understand the attitudes and views of opinion holders with
computers. Previous studies have achieved significant breakthroughs and extensive …
computers. Previous studies have achieved significant breakthroughs and extensive …
Pyabsa: A modularized framework for reproducible aspect-based sentiment analysis
The advancement of aspect-based sentiment analysis (ABSA) has highlighted the lack of a
user-friendly framework that can significantly reduce the difficulty of reproducing state-of-the …
user-friendly framework that can significantly reduce the difficulty of reproducing state-of-the …
HIM: An end-to-end hierarchical interaction model for aspect sentiment triplet extraction
Aspect Sentiment Triplet Extraction (ASTE) is an emerging task of fine-grained sentiment
analysis, which aims to extract aspect terms, associated opinion terms, and sentiment …
analysis, which aims to extract aspect terms, associated opinion terms, and sentiment …
Bi-syntax guided transformer network for aspect sentiment triplet extraction
S Hao, Y Zhou, P Liu, S Xu - Neurocomputing, 2024 - Elsevier
Abstract Aspect Sentiment Triplet Extraction is an emerging and challenging task that
attempts to present a complete picture of aspect-based sentiment analysis. Prior research …
attempts to present a complete picture of aspect-based sentiment analysis. Prior research …
SUN: Exploring intrinsic uncertainties in text-to-SQL parsers
This paper aims to improve the performance of text-to-SQL parsing by exploring the intrinsic
uncertainties in the neural network based approaches (called SUN). From the data …
uncertainties in the neural network based approaches (called SUN). From the data …
Integration of multi-branch GCNs enhancing aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) is a complex and challenging task in Natural
Language Processing (NLP). It aims to extract the triplet of aspect term, opinion term, and …
Language Processing (NLP). It aims to extract the triplet of aspect term, opinion term, and …
Revisiting aspect sentiment triplet extraction: A span-level approach with enhanced contextual interaction
Abstract Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect terms,
corresponding opinion terms, and the expressed sentiment polarities from a given sentence …
corresponding opinion terms, and the expressed sentiment polarities from a given sentence …
Span-based semantic syntactic dual enhancement for aspect sentiment triplet extraction
S Ren, Z Guo, X Li, R Zhong - Journal of Intelligent Information Systems, 2024 - Springer
Abstract Aspect-Based Sentiment Triple Extraction (ASTE), a critical sub-task of Aspect-
Based Sentiment Analysis (ABSA), has received extensive attention in recent years. ASTE …
Based Sentiment Analysis (ABSA), has received extensive attention in recent years. ASTE …
DS-Group at SIGHAN-2024 dimABSA task: Constructing in-context learning structure for dimensional aspect-based sentiment analysis
Abstract Aspect-Based Sentiment Analysis (ABSA) is an important subtask in Natural
Language Processing (NLP). More recent research within ABSA have consistently focused …
Language Processing (NLP). More recent research within ABSA have consistently focused …
Modular Retrieval for Generalization and Interpretation
New retrieval tasks have always been emerging, thus urging the development of new
retrieval models. However, instantiating a retrieval model for each new retrieval task is …
retrieval models. However, instantiating a retrieval model for each new retrieval task is …