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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; Yu, Jianfei. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.24/ Abstract: Data augmentation and adversarial perturbation approaches have recently achieved promising results in solving the over-fitting problem in many natural language processing (NLP) tasks including sentiment classification. However, existing studies aimed to improve the generalization ability by augmenting the training data with synonymous examples or adding random noises to word embeddings, which cannot address the spurious association problem. In this work, we propose an end-toend reinforcement learning framework, which jointly performs counterfactual data generation and dual sentiment classification. Our approach has three characteristics: 1) the generator automatically generates massive and diverse antonymous sentences; 2) the discriminator contains a original-side sentiment predictor and an antonymous-side sentiment predictor, which jointly evaluate the quality of the generated sample and help the generator iteratively generate ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis URL: https://dx.doi.org/10.48448/5v66-xt12 https://underline.io/lecture/38097-reinforced-counterfactual-data-augmentation-for-dual-sentiment-classification BASE Hide details 5 Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network ... The 28th International Conference on Computational Linguistics 2020; Cai, Hongjie; Tu, Yaofeng. - : Underline Science Inc., 2020 BASE Show 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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