Search Results - "Jiang, Baoxing"

Prediction model with multi-point relationship fusion via graph convolutional network: A case study on mining-induced surface subsidence by Jiang, Baoxing, Zhang, Kun, Liu, Xiaopeng, Lu, Yuxi

“…Accurate prediction of surface subsidence is of significance for analyzing the pattern of mining-induced surface subsidence, and for mining under buildings,…”
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Aspect-level sentiment classification via location enhanced aspect-merged graph convolutional networks by Jiang, Baoxing, Xu, Guangtao, Liu, Peiyu

“…Aspect-level sentiment classification (ALSC) is a fine-grained sentiment analysis task that needs to predict the sentiment polarities of the given aspect terms…”
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Knowledge complementation based dual-table filling approach for aspect sentiment triplet extraction by Wang, Bao, Jiang, Baoxing, Wang, Guangjin, Shi, Liang, Liu, Peiyu

“…Aspect Sentiment Triplet Extraction (ASTE) task aims to extract aspect terms, opinion terms, and the corresponding sentiment polarity of aspect-opinion pairs…”
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A semantically enhanced dual encoder for aspect sentiment triplet extraction by Jiang, Baoxing, Liang, Shehui, Liu, Peiyu, Dong, Kaifang, Li, Hongye

“…Aspect sentiment triplet extraction (ASTE) is a crucial subtask of aspect-based sentiment analysis (ABSA) that aims to comprehensively identify sentiment…”
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Meta-learning triplet contrast network for few-shot text classification by Dong, Kaifang, Jiang, Baoxing, Li, Hongye, Zhu, Zhenfang, Liu, Peiyu

“…Few-shot text classification (FSTC) strives to predict classes not involved in the training by learning from a few labeled examples. Currently, most tasks…”
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Heuristic-enhanced Candidates Selection strategy for GPTs tackle Few-Shot Aspect-Based Sentiment Analysis by Jiang, Baoxing, Wan, Yujie, Ju, Shenggen

“…Few-Shot Aspect-Based Sentiment Analysis (FSABSA) is an indispensable and highly challenging task in natural language processing. However, methods based on…”
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A semantically enhanced dual encoder for aspect sentiment triplet extraction by Jiang, Baoxing, Liang, Shehui, Liu, Peiyu, Dong, Kaifang, Li, Hongye

“…Aspect sentiment triplet extraction (ASTE) is a crucial subtask of aspect-based sentiment analysis (ABSA) that aims to comprehensively identify sentiment…”
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