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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Cross-Domain Review Generation for Aspect-Based Sentiment Analysis ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Gong, Chenggong; Xia, Rui. - : Underline Science Inc., 2021 BASE Show details 2 Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cai, Hongjie; Xia, Rui. - : Underline Science Inc., 2021 BASE Show details 3 Comparative Opinion Quintuple Extraction from Product Reviews ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Liu, Ziheng; Xia, Rui. - : Underline Science Inc., 2021 BASE Show details 4 Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Hao; Xia, Rui. - : Underline Science Inc., 2021 BASE Show details 5 Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network ... The 28th International Conference on Computational Linguistics 2020; Cai, Hongjie; Tu, Yaofeng; Xia, Rui; Yu, Jianfei; Zhou, Xiangsheng. - : Underline Science Inc., 2020 Abstract: Most of the aspect-based sentiment analysis research aims at identifying the sentiment polarities toward some explicit aspect terms while ignores implicit aspects in text. To capture both explicit and implicit aspects, we focus on aspect-category based sentiment analysis, which involves joint aspect category detection and category-oriented sentiment classification. However, currently only a few simple studies have focused on this problem. The shortcomings in the way they defined the task make their approaches difficult to effectively learn the inner-relations between categories and the inter-relations between categories and sentiments. In this work, we re-formalize the task as a category-sentiment hierarchy prediction problem, which contains a hierarchy output structure to first identify multiple aspect categories in a piece of text, and then predict the sentiment for each of the identified categories. Specifically, we propose a Hierarchical Graph Convolutional Network (Hier-GCN), where a lower-level GCN is ... Keyword: Computer and Information Science; Natural Language Processing; Neural Network URL: https://dx.doi.org/10.48448/pccd-pa03 https://underline.io/lecture/6262-aspect-category-based-sentiment-analysis-with-hierarchical-graph-convolutional-network BASE Hide details 6 Multimodal Relational Tensor Network for Sentiment and Emotion Classification ... Sahay, Saurav; Kumar, Shachi H; Xia, Rui. - : arXiv, 2018 BASE Show details 7 Level of interest sensing in spoken dialog using decision-level fusion of acoustic and lexical evidence Jeon, Je Hun; Xia, Rui; Liu, Yang In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 2, 420-433 OLC Linguistik Show details 8 Ensemble of feature sets and classification algorithms for sentiment classification Xia, Rui; Zong, Chengqing; Li, Shoushan In: Information sciences. - New York, NY : Elsevier Science Inc. 181 (2011) 6, 1138-1152 OLC Linguistik Show details

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