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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 – 15 of 15 1 Multi-tasking Dialogue Comprehension with Discourse Parsing ... He, Yuchen; Zhang, Zhuosheng; Zhao, Hai. - : arXiv, 2021 BASE Show details 2 Structural Pre-training for Dialogue Comprehension ... 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; Zhang, Zhuosheng; Zhao, Hai. - : Underline Science Inc., 2021 BASE Show details 3 Smoothing Dialogue States for Open Conversational Machine Reading ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ouyang, Siru; Zhang, Zhuosheng. - : Underline Science Inc., 2021 BASE Show details 4 Dialogue Graph Modeling for Conversational Machine Reading ... 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; Ouyang, Siru; Zhang, Zhuosheng. - : Underline Science Inc., 2021 BASE Show details 5 Tracing Origins: Coreference-aware Machine Reading Comprehension ... Huang, Baorong; Zhang, Zhuosheng; Zhao, Hai. - : arXiv, 2021 BASE Show details 6 Enhancing Pre-trained Language Model with Lexical Simplification ... Bao, Rongzhou; Wang, Jiayi; Zhang, Zhuosheng. - : arXiv, 2020 BASE Show details 7 SG-Net: Syntax Guided Transformer for Language Representation ... Zhang, Zhuosheng; Wu, Yuwei; Zhou, Junru. - : arXiv, 2020 BASE Show details 8 Open Named Entity Modeling from Embedding Distribution ... Luo, Ying; Zhao, Hai; Zhang, Zhuosheng. - : arXiv, 2019 BASE Show details 9 SG-Net: Syntax-Guided Machine Reading Comprehension ... Zhang, Zhuosheng; Wu, Yuwei; Zhou, Junru. - : arXiv, 2019 BASE Show details 10 LIMIT-BERT : Linguistic Informed Multi-Task BERT ... Zhou, Junru; Zhang, Zhuosheng; Zhao, Hai. - : arXiv, 2019 BASE Show details 11 CoNLL 2018 Shared Task System Outputs Zeman, Daniel; Potthast, Martin; Duthoo, Elie. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018 BASE Show details 12 Effective Subword Segmentation for Text Comprehension ... Zhang, Zhuosheng; Zhao, Hai; Ling, Kangwei. - : arXiv, 2018 BASE Show details 13 Modeling Multi-turn Conversation with Deep Utterance Aggregation ... Zhang, Zhuosheng; Li, Jiangtong; Zhu, Pengfei. - : arXiv, 2018 BASE Show details 14 Subword-augmented Embedding for Cloze Reading Comprehension ... Zhang, Zhuosheng; Huang, Yafang; Zhao, Hai. - : arXiv, 2018 Abstract: Representation learning is the foundation of machine reading comprehension. In state-of-the-art models, deep learning methods broadly use word and character level representations. However, character is not naturally the minimal linguistic unit. In addition, with a simple concatenation of character and word embedding, previous models actually give suboptimal solution. In this paper, we propose to use subword rather than character for word embedding enhancement. We also empirically explore different augmentation strategies on subword-augmented embedding to enhance the cloze-style reading comprehension model reader. In detail, we present a reader that uses subword-level representation to augment word embedding with a short list to handle rare words effectively. A thorough examination is conducted to evaluate the comprehensive performance and generalization ability of the proposed reader. Experimental results show that the proposed approach helps the reader significantly outperform the state-of-the-art baselines ... : Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1806.09103 https://arxiv.org/abs/1806.09103 BASE Hide details 15 One-shot Learning for Question-Answering in Gaokao History Challenge ... Zhang, Zhuosheng; Zhao, Hai. - : arXiv, 2018 BASE Show details

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