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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 – 20 of 20 1 Enhancing Cross-lingual Prompting with Mask Token Augmentation ... Zhou, Meng; Li, Xin; Jiang, Yue. - : arXiv, 2022 BASE Show details 2 Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Wai; Bing, Lidong. - : Underline Science Inc., 2021 BASE Show details 3 Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings ... Liu, Linlin; Nguyen, Thien Hai; Joty, Shafiq. - : arXiv, 2021 BASE Show details 4 Knowledge Based Multilingual Language Model ... Liu, Linlin; Li, Xin; He, Ruidan. - : arXiv, 2021 BASE Show details 5 MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ... Zhou, Ran; Li, Xin; He, Ruidan. - : arXiv, 2021 BASE Show details 6 Multilingual AMR Parsing with Noisy Knowledge Distillation ... Cai, Deng; Li, Xin; Ho, Jackie Chun-Sing. - : arXiv, 2021 BASE Show details 7 GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems ... Ding, Bosheng; Hu, Junjie; Bing, Lidong. - : arXiv, 2021 BASE Show details 8 Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews ... 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; Bing, Lidong; Hai, Zhen. - : Underline Science Inc., 2021 BASE Show details 9 On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation ... 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; Bing, Lidong; Cheng, liying.cheng@alibaba-inc.com. - : Underline Science Inc., 2021 BASE Show details 10 Towards Generative 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; ., Wai; Bing, Lidong. - : Underline Science Inc., 2021 BASE Show details 11 Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding ... 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; Bing, Lidong; Cheng, Liying. - : Underline Science Inc., 2021 BASE Show details 12 Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction ... 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; Bing, Lidong; Chia, Yew Ken. - : Underline Science Inc., 2021 BASE Show details 13 MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER ... 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; Bing, Lidong; Ding, Bosheng. - : Underline Science Inc., 2021 BASE Show details 14 Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond ... Li, Xin; Bing, Lidong; Zhang, Wenxuan. - : arXiv, 2020 BASE Show details 15 Dynamic Topic Tracker for KB-to-Text Generation Jameel, Mohammad Shoaib; Zihao, Fu; Wai, Lam. - 2020 BASE Show details 16 Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning ... Li, Zheng; Li, Xin; Wei, Ying; Bing, Lidong; Zhang, Yu; Yang, Qiang. - : arXiv, 2019 Abstract: Joint extraction of aspects and sentiments can be effectively formulated as a sequence labeling problem. However, such formulation hinders the effectiveness of supervised methods due to the lack of annotated sequence data in many domains. To address this issue, we firstly explore an unsupervised domain adaptation setting for this task. Prior work can only use common syntactic relations between aspect and opinion words to bridge the domain gaps, which highly relies on external linguistic resources. To resolve it, we propose a novel Selective Adversarial Learning (SAL) method to align the inferred correlation vectors that automatically capture their latent relations. The SAL method can dynamically learn an alignment weight for each word such that more important words can possess higher alignment weights to achieve fine-grained (word-level) adaptation. Empirically, extensive experiments demonstrate the effectiveness of the proposed SAL method. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1910.14192 https://arxiv.org/abs/1910.14192 BASE Hide details 17 A knowledge regularized hierarchical approach for emotion cause analysis Gui, Lin; Bing, Lidong; Xu, Ruifeng. - : Association for Computational Linguistics, 2019 BASE Show details 18 Neural Rating Regression with Abstractive Tips Generation for Recommendation ... Li, Piji; Wang, Zihao; Ren, Zhaochun. - : arXiv, 2017 BASE Show details 19 Reader-Aware Multi-Document Summarization via Sparse Coding ... Li, Piji; Bing, Lidong; Lam, Wai. - : arXiv, 2015 BASE Show details 20 Abstractive Multi-Document Summarization via Phrase Selection and Merging ... Bing, Lidong; Li, Piji; Liao, Yi. - : arXiv, 2015 BASE Show details

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