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2020 – today
- 2024
- [j11]Zhangyin Feng, Duyu Tang, Xiaocheng Feng, Cong Zhou, Junwei Liao, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without wordpieces: learning over a vocabulary of millions of words. Int. J. Mach. Learn. Cybern. 15(9): 3989-3998 (2024) - [c57]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. ACL (Findings) 2024: 14095-14113 - [c56]Jiwen Zhang, Jihao Wu, Yihua Teng, Minghui Liao, Nuo Xu, Xiao Xiao, Zhongyu Wei, Duyu Tang:
Android in the Zoo: Chain-of-Action-Thought for GUI Agents. EMNLP (Findings) 2024: 12016-12031 - [c55]Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. ICASSP 2024: 11576-11580 - [i54]Jiwen Zhang, Jihao Wu, Yihua Teng, Minghui Liao, Nuo Xu, Xiao Xiao, Zhongyu Wei, Duyu Tang:
Android in the Zoo: Chain-of-Action-Thought for GUI Agents. CoRR abs/2403.02713 (2024) - [i53]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. CoRR abs/2408.04568 (2024) - [i52]Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (2024) - 2023
- [c54]Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. AAAI 2023: 3715-3723 - [c53]Shuming Shi, Enbo Zhao, Wei Bi, Deng Cai, Leyang Cui, Xinting Huang, Haiyun Jiang, Duyu Tang, Kaiqiang Song, Longyue Wang, Chenyan Huang, Guoping Huang, Yan Wang, Piji Li:
Effidit: An Assistant for Improving Writing Efficiency. ACL (demo) 2023: 508-515 - [c52]Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin:
Improved Visual Story Generation with Adaptive Context Modeling. ACL (Findings) 2023: 4939-4955 - [c51]Junwei Liao, Duyu Tang, Fan Zhang, Shuming Shi:
Skillnet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach. ICASSP 2023: 1-5 - [c50]Linyang Li, Yong Dai, Duyu Tang, Xipeng Qiu, Zelin Xu, Shuming Shi:
MarkBERT: Marking Word Boundaries Improves Chinese BERT. NLPCC (1) 2023: 325-336 - [i51]Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. CoRR abs/2302.09736 (2023) - [i50]Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin:
Improved Visual Story Generation with Adaptive Context Modeling. CoRR abs/2305.16811 (2023) - [i49]Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. CoRR abs/2306.16176 (2023) - [i48]Zhangyin Feng, Runyi Hu, Liangxin Liu, Fan Zhang, Duyu Tang, Yong Dai, Xiaocheng Feng, Jiwei Li, Bing Qin, Shuming Shi:
Emage: Non-Autoregressive Text-to-Image Generation. CoRR abs/2312.14988 (2023) - 2022
- [j10]Fan Yang, Wenchuan Wang, Fang Wang, Yuan Fang, Duyu Tang, Junzhou Huang, Hui Lu, Jianhua Yao:
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data. Nat. Mac. Intell. 4(10): 852-866 (2022) - [c49]Yong Dai, Linyang Li, Cong Zhou, Zhangyin Feng, Enbo Zhao, Xipeng Qiu, Piji Li, Duyu Tang:
"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction. ACL (Findings) 2022: 1-8 - [c48]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. ACL (Findings) 2022: 1619-1629 - [c47]Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li, Shuming Shi:
Exploring and Adapting Chinese GPT to Pinyin Input Method. ACL (1) 2022: 1899-1909 - [c46]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
Analytical Reasoning of Text. NAACL-HLT (Findings) 2022: 2306-2319 - [i47]Zhangyin Feng, Duyu Tang, Cong Zhou, Junwei Liao, Shuangzhi Wu, Xiaocheng Feng, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words. CoRR abs/2202.12142 (2022) - [i46]Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li, Shuming Shi:
Exploring and Adapting Chinese GPT to Pinyin Input Method. CoRR abs/2203.00249 (2022) - [i45]Yong Dai, Linyang Li, Cong Zhou, Zhangyin Feng, Enbo Zhao, Xipeng Qiu, Piji Li, Duyu Tang:
"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction. CoRR abs/2203.00286 (2022) - [i44]Duyu Tang, Fan Zhang, Yong Dai, Cong Zhou, Shuangzhi Wu, Shuming Shi:
One Model, Multiple Tasks: Pathways for Natural Language Understanding. CoRR abs/2203.03312 (2022) - [i43]Linyang Li, Yong Dai, Duyu Tang, Zhangyin Feng, Cong Zhou, Xipeng Qiu, Zenglin Xu, Shuming Shi:
MarkBERT: Marking Word Boundaries Improves Chinese BERT. CoRR abs/2203.06378 (2022) - [i42]Cong Zhou, Yong Dai, Duyu Tang, Enbo Zhao, Zhangyin Feng, Li Kuang, Shuming Shi:
Pretraining Chinese BERT for Detecting Word Insertion and Deletion Errors. CoRR abs/2204.12052 (2022) - [i41]Junwei Liao, Duyu Tang, Fan Zhang, Shuming Shi:
SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach. CoRR abs/2204.12184 (2022) - [i40]Yong Dai, Duyu Tang, Liangxin Liu, Minghuan Tan, Cong Zhou, Jingquan Wang, Zhangyin Feng, Fan Zhang, Xueyu Hu, Shuming Shi:
One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code. CoRR abs/2205.06126 (2022) - [i39]Shuming Shi, Enbo Zhao, Duyu Tang, Yan Wang, Piji Li, Wei Bi, Haiyun Jiang, Guoping Huang, Leyang Cui, Xinting Huang, Cong Zhou, Yong Dai, Dongyang Ma:
Effidit: Your AI Writing Assistant. CoRR abs/2208.01815 (2022) - 2021
- [c45]Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou:
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. ACL/IJCNLP (1) 2021: 754-763 - [c44]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. ACL/IJCNLP (Findings) 2021: 1405-1418 - [c43]Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin, Nan Duan:
UserAdapter: Few-Shot User Learning in Sentiment Analysis. ACL/IJCNLP (Findings) 2021: 1484-1488 - [c42]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan:
Syntax-Enhanced Pre-trained Model. ACL/IJCNLP (1) 2021: 5412-5422 - [c41]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. ACL/IJCNLP (1) 2021: 5690-5700 - [c40]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. EMNLP (Findings) 2021: 238-244 - [c39]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c38]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [i38]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i37]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. CoRR abs/2104.01767 (2021) - [i36]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
AR-LSAT: Investigating Analytical Reasoning of Text. CoRR abs/2104.06598 (2021) - [i35]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. CoRR abs/2105.03659 (2021) - [i34]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. CoRR abs/2105.13239 (2021) - 2020
- [j9]Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020) - [c37]Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. AAAI 2020: 8449-8456 - [c36]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. AAAI 2020: 8960-8967 - [c35]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c34]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. ACL 2020: 6118-6129 - [c33]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. ACL 2020: 6170-6180 - [c32]Nan Duan, Duyu Tang, Ming Zhou:
Machine Reasoning: Technology, Dilemma and Future. EMNLP (Tutorial Abstracts) 2020: 1-6 - [c31]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c30]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. EMNLP (1) 2020: 2461-2470 - [c29]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. EMNLP (1) 2020: 3895-3903 - [i33]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. CoRR abs/2002.01808 (2020) - [i32]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i31]Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou:
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. CoRR abs/2004.03070 (2020) - [i30]Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu:
Pre-training Text Representations as Meta Learning. CoRR abs/2004.05568 (2020) - [i29]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts. CoRR abs/2004.12057 (2020) - [i28]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. CoRR abs/2004.13659 (2020) - [i27]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. CoRR abs/2004.14201 (2020) - [i26]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. CoRR abs/2006.08101 (2020) - [i25]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR abs/2009.08366 (2020) - [i24]Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, Shuai Ma:
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis. CoRR abs/2009.10297 (2020) - [i23]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. CoRR abs/2010.07475 (2020) - [i22]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Nan Duan, Daxin Jiang:
Syntax-Enhanced Pre-trained Model. CoRR abs/2012.14116 (2020)
2010 – 2019
- 2019
- [j8]Yibo Sun, Zhao Yan, Duyu Tang, Nan Duan, Bing Qin:
Content-based table retrieval for web queries. Neurocomputing 349: 183-189 (2019) - [j7]Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Ming Zhou, Tiejun Zhao:
Text Generation From Tables. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 311-320 (2019) - [c28]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. ACL (1) 2019: 855-866 - [c27]Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun:
Asking Clarification Questions in Knowledge-Based Question Answering. EMNLP/IJCNLP (1) 2019: 1618-1629 - [c26]Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. EMNLP/IJCNLP (1) 2019: 2442-2451 - [c25]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-training. NLPCC (1) 2019: 16-28 - [c24]Yibo Sun, Duyu Tang, Jingjing Xu, Nan Duan, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Knowledge-Aware Conversational Semantic Parsing over Web Tables. NLPCC (1) 2019: 827-839 - [i21]Chenfei Wu, Yanzhao Zhou, Gen Li, Nan Duan, Duyu Tang, Xiaojie Wang:
Deep Reason: A Strong Baseline for Real-World Visual Reasoning. CoRR abs/1905.10226 (2019) - [i20]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. CoRR abs/1906.07108 (2019) - [i19]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. CoRR abs/1909.03745 (2019) - [i18]Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. CoRR abs/1909.05311 (2019) - [i17]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. CoRR abs/1909.05438 (2019) - [i16]Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. CoRR abs/1910.05069 (2019) - 2018
- [j6]Yaming Sun, Zhenzhou Ji, Lei Lin, Xiaolong Wang, Duyu Tang:
Entity disambiguation with memory network. Neurocomputing 275: 2367-2373 (2018) - [c23]Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao:
Table-to-Text: Describing Table Region With Natural Language. AAAI 2018: 5020-5027 - [c22]Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li:
Assertion-Based QA With Question-Aware Open Information Extraction. AAAI 2018: 6021-6028 - [c21]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. ACL (1) 2018: 361-372 - [c20]Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou:
Question Generation from SQL Queries Improves Neural Semantic Parsing. EMNLP 2018: 1597-1607 - [c19]Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun, Shujie Liu, Yuanhua Lv, Ming Zhou:
Learning to Collaborate for Question Answering and Asking. NAACL-HLT 2018: 1564-1574 - [c18]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base. NeurIPS 2018: 2946-2955 - [i15]Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li:
Assertion-based QA with Question-Aware Open Information Extraction. CoRR abs/1801.07414 (2018) - [i14]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. CoRR abs/1804.08338 (2018) - [i13]Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao:
Table-to-Text: Describing Table Region with Natural Language. CoRR abs/1805.11234 (2018) - [i12]Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou:
Question Generation from SQL Queries Improves Neural Semantic Parsing. CoRR abs/1808.06304 (2018) - [i11]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-Training. CoRR abs/1809.03568 (2018) - [i10]Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin:
Knowledge Based Machine Reading Comprehension. CoRR abs/1809.04267 (2018) - [i9]Yibo Sun, Duyu Tang, Nan Duan, Jingjing Xu, Xiaocheng Feng, Bing Qin:
Knowledge-Aware Conversational Semantic Parsing Over Web Tables. CoRR abs/1809.04271 (2018) - 2017
- [j5]Yaming Sun, Zhenzhou Ji, Lei Lin, Duyu Tang, Xiaolong Wang:
Entity disambiguation with decomposable neural networks. WIREs Data Mining Knowl. Discov. 7(5) (2017) - [c17]Nan Duan, Duyu Tang, Peng Chen, Ming Zhou:
Question Generation for Question Answering. EMNLP 2017: 866-874 - [c16]Nan Duan, Duyu Tang:
Overview of the NLPCC 2017 Shared Task: Open Domain Chinese Question Answering. NLPCC 2017: 954-961 - [i8]Duyu Tang, Nan Duan, Tao Qin, Ming Zhou:
Question Answering and Question Generation as Dual Tasks. CoRR abs/1706.02027 (2017) - [i7]Zhao Yan, Duyu Tang, Nan Duan, Junwei Bao, Yuanhua Lv, Ming Zhou, Zhoujun Li:
Content-Based Table Retrieval for Web Queries. CoRR abs/1706.02427 (2017) - 2016
- [j4]Yanyan Zhao, Bing Qin, Ting Liu, Duyu Tang:
Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog. Multim. Tools Appl. 75(15): 8843-8860 (2016) - [j3]Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, Ming Zhou:
Sentiment Embeddings with Applications to Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 28(2): 496-509 (2016) - [c15]Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu:
A Language-Independent Neural Network for Event Detection. ACL (2) 2016 - [c14]Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu:
English-Chinese Knowledge Base Translation with Neural Network. COLING 2016: 2935-2944 - [c13]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Effective LSTMs for Target-Dependent Sentiment Classification. COLING 2016: 3298-3307 - [c12]Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016: 214-224 - [i6]Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. CoRR abs/1605.08900 (2016) - 2015
- [j2]Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1750-1761 (2015) - [j1]Duyu Tang, Bing Qin, Ting Liu:
Deep learning for sentiment analysis: successful approaches and future challenges. WIREs Data Mining Knowl. Discov. 5(6): 292-303 (2015) - [c11]Duyu Tang, Bing Qin, Ting Liu:
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. ACL (1) 2015: 1014-1023 - [c10]Duyu Tang, Bing Qin, Ting Liu:
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. EMNLP 2015: 1422-1432 - [c9]Yaming Sun, Lei Lin, Duyu Tang, Nan Yang, Zhenzhou Ji, Xiaolong Wang:
Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation. IJCAI 2015: 1333-1339 - [c8]Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang:
User Modeling with Neural Network for Review Rating Prediction. IJCAI 2015: 1340-1346 - [c7]Duyu Tang:
Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis. WSDM 2015: 447-452 - [i5]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Target-Dependent Sentiment Classification with Long Short Term Memory. CoRR abs/1512.01100 (2015) - [i4]Duyu Tang, Bing Qin, Xinwei Geng, Dandan Ning, Jiahao Liu, Ting Liu:
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