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Knowledge graph augmented network towards multiview representation learning for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To
better comprehend long complicated sentences and obtain accurate aspect-specific …
better comprehend long complicated sentences and obtain accurate aspect-specific …
A contrastive cross-channel data augmentation framework for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task, which
focuses on detecting the sentiment polarity towards the aspect in a sentence. However, it is …
focuses on detecting the sentiment polarity towards the aspect in a sentence. However, it is …
Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection
Abstract Aspect-Based Sentiment Analysis (ABSA) represents a fine-grained approach to
sentiment analysis, aiming to pinpoint and evaluate sentiments associated with specific …
sentiment analysis, aiming to pinpoint and evaluate sentiments associated with specific …
Toward efficient language model pretraining and downstream adaptation via self-evolution: A case study on superglue
This technical report briefly describes our JDExplore d-team's Vega v2 submission on the
SuperGLUE leaderboard. SuperGLUE is more challenging than the widely used general …
SuperGLUE leaderboard. SuperGLUE is more challenging than the widely used general …
Improving complex reasoning over knowledge graph with logic-aware curriculum tuning
Answering complex queries over incomplete knowledge graphs (KGs) is a challenging job.
Most previous works have focused on learning entity/relation embeddings and simulating …
Most previous works have focused on learning entity/relation embeddings and simulating …
[HTML][HTML] Syntax-enhanced aspect-based sentiment analysis with multi-layer attention
As a key task of fine-grained sentiment analysis, aspect-based sentiment analysis aims to
analyse people's opinions at the aspect level from user-generated texts. Various sub-tasks …
analyse people's opinions at the aspect level from user-generated texts. Various sub-tasks …
Improving span-based Aspect Sentiment Triplet Extraction with part-of-speech filtering and contrastive learning
Abstract Aspect Sentiment Triple Extraction (ASTE), a subtask of fine-grained sentiment
analysis, aims to extract aspect terms, opinion terms, and their corresponding sentiment …
analysis, aims to extract aspect terms, opinion terms, and their corresponding sentiment …
Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews
Aspect-based Sentiment Analysis (ABSA) is a critical task in Natural Language Processing
(NLP) that focuses on extracting sentiments related to specific aspects within a text, offering …
(NLP) that focuses on extracting sentiments related to specific aspects within a text, offering …
TDFNet: Transformer-based deep-scale fusion network for multimodal emotion recognition
Z Zhao, Y Wang, G Shen, Y Xu… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
As deep learning technology research continues to progress, artificial intelligence
technology is gradually empowering various fields. To achieve a more natural human …
technology is gradually empowering various fields. To achieve a more natural human …
[HTML][HTML] Optimizing aspect-based sentiment analysis using sentence embedding transformer, bayesian search clustering, and sparse attention mechanism
The aspect-based sentiment analysis of hotel reviews represents a critical yet
underexplored area of research. Such reviews encompass a range of expressions that …
underexplored area of research. Such reviews encompass a range of expressions that …