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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 Semantics-Preserved Distortion for Personal Privacy Protection ... Peng, Letian; Li, Zuchao; Zhao, Hai. - : arXiv, 2022 BASE Show details 2 Head-driven Phrase Structure Parsing in O($n^3$) Time Complexity ... Li, Zuchao; Zhou, Junru; Zhao, Hai. - : arXiv, 2021 BASE Show details 3 Unsupervised Neural Machine Translation with Universal Grammar ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Zuchao; Sumita, Eiichiro. - : Underline Science Inc., 2021 BASE Show details 4 Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jiang, Shu; Jing, Hongjiang; Li, Zuchao; Zhao, Hai. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.318/ Abstract: Aspect-based sentiment analysis (ABSA) task consists of several subtasks. Aspect sentiment triplet extraction (ASTE) subtask of ABSA was proposed recently which aims to formulate the relevant information into a triplet: target aspect object, opinion clue, and sentiment polarity orientation. However, most of the existing joint models only focus on the benefits of encoder sharing between subtasks but ignore the difference. Therefore, we propose a dual-encoder approach, in which a pair encoder especially focuses on candidate aspect-opinion pair classification, and the original encoder keeps attention on sequence labeling. Empirical results show that our proposed model significantly outperforms the previous state-of-the-art on 8 benchmark datasets. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis URL: https://dx.doi.org/10.48448/0z51-tx72 https://underline.io/lecture/37639-seeking-common-but-distinguishing-difference,-a-joint-aspect-based-sentiment-analysis-model BASE Hide details 5 Syntax Role for Neural Semantic Role Labeling ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cai, Jiaxun; He, Shexia. - : Underline Science Inc., 2021 BASE Show details 6 Syntax Role for Neural Semantic Role Labeling ... Li, Zuchao; Zhao, Hai; He, Shexia. - : arXiv, 2020 BASE Show details 7 Adaptive Convolution for Semantic Role Labeling ... Munir, Kashif; Zhao, Hai; Li, Zuchao. - : arXiv, 2020 BASE Show details 8 Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank ... Sun, Kailai; Li, Zuchao; Zhao, Hai. - : arXiv, 2020 BASE Show details 9 Syntax-aware Multilingual Semantic Role Labeling ... He, Shexia; Li, Zuchao; Zhao, Hai. - : arXiv, 2019 BASE Show details 10 Subword ELMo ... Li, Jiangtong; Zhao, Hai; Li, Zuchao. - : arXiv, 2019 BASE Show details 11 Parsing All: Syntax and Semantics, Dependencies and Spans ... Zhou, Junru; Li, Zuchao; Zhao, Hai. - : arXiv, 2019 BASE Show details 12 Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank ... Li, Zuchao; Zhao, Hai; Zhou, Junru. - : arXiv, 2019 BASE Show details 13 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 14 Effective Subword Segmentation for Text Comprehension ... Zhang, Zhuosheng; Zhao, Hai; Ling, Kangwei. - : arXiv, 2018 BASE Show details 15 A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware? ... Cai, Jiaxun; He, Shexia; Li, Zuchao. - : arXiv, 2018 BASE Show details

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