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2020 – today
- 2023
[j60]Wang Xu
, Kehai Chen, Tiejun Zhao:
Document-Level Relation Extraction with Path Reasoning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(4): 1-14 (2023)- 2022
- [j59]Kai Yan, Tiejun Zhao, Muyun Yang:
BCGL: Binary Classification-Based Graph Layout. IEICE Trans. Inf. Syst. 105-D(9): 1610-1619 (2022) - [j58]Kai Yan, Tiejun Zhao, Muyun Yang:
GRAPHULY: GRAPH U-Nets-Based Multi-Level Graph LaYout. IEICE Trans. Inf. Syst. 105-D(12): 2135-2138 (2022) - [j57]Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Sourav S. Bhowmick, Changlong Sun, Conghui Zhu, Tiejun Zhao:
Toward automatic support for leading court debates: a novel task proposal & effective approach of judicial question generation. Neural Comput. Appl. 34(19): 16367-16385 (2022) - [j56]Nina Sviridova, Tiejun Zhao, Akimasa Nakano, Tohru Ikeguchi:
Photoplethysmogram Recording Length: Defining Minimal Length Requirement from Dynamical Characteristics. Sensors 22(14): 5154 (2022) - [j55]Kehai Chen, Muyun Yang, Tiejun Zhao, Min Zhang:
Data-Driven Fuzzy Target-Side Representation for Intelligent Translation System. IEEE Trans. Fuzzy Syst. 30(11): 4568-4577 (2022) - [c214]Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin:
Decomposed Meta-Learning for Few-Shot Named Entity Recognition. ACL (Findings) 2022: 1584-1596 - [c213]Zihao Feng, Hailong Cao, Tiejun Zhao, Weixuan Wang, Wei Peng:
Cross-lingual Feature Extraction from Monolingual Corpora for Low-resource Unsupervised Bilingual Lexicon Induction. COLING 2022: 5278-5287 - [c212]Mohan Zhou, Yalong Bai, Wei Zhang, Ting Yao, Tiejun Zhao, Tao Mei:
Responsive Listening Head Generation: A Benchmark Dataset and Baseline. ECCV (38) 2022: 124-142 - [c211]Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao:
MuGER2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering. EMNLP (Findings) 2022: 6687-6697 - [c210]Yongwei Zhou, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao:
UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation. EMNLP 2022: 7494-7507 - [c209]Yongwei Zhou, Junwei Bao, Chaoqun Duan, Haipeng Sun, Jiahui Liang, Yifan Wang, Jing Zhao, Youzheng Wu, Xiaodong He, Tiejun Zhao:
OPERA: Operation-Pivoted Discrete Reasoning over Text. NAACL-HLT 2022: 1655-1666 - [c208]Zhen Li, Bing Xu, Conghui Zhu, Tiejun Zhao:
CLMLF: A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection. NAACL-HLT (Findings) 2022: 2282-2294 - [c207]Wang Xu, Tiejun Zhao:
Jointly Learning Guidance Induction and Faithful Summary Generation via Conditional Variational Autoencoders. NAACL-HLT (Findings) 2022: 2340-2350 - [c206]Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao:
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. NAACL-HLT 2022: 2920-2929 - [c205]Tingting Ma, Qianhui Wu, Zhiwei Yu, Tiejun Zhao, Chin-Yew Lin:
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning. NAACL-HLT 2022: 3806-3818 - [i35]Zhen Li, Bing Xu, Conghui Zhu, Tiejun Zhao:
CLMLF: A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection. CoRR abs/2204.05515 (2022) - [i34]Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin:
Decomposed Meta-Learning for Few-Shot Named Entity Recognition. CoRR abs/2204.05751 (2022) - [i33]Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao:
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. CoRR abs/2204.12679 (2022) - [i32]Yongwei Zhou, Junwei Bao, Chaoqun Duan, Haipeng Sun, Jiahui Liang, Yifan Wang, Jing Zhao, Youzheng Wu, Xiaodong He, Tiejun Zhao:
OPERA: Operation-Pivoted Discrete Reasoning over Text. CoRR abs/2204.14166 (2022) - [i31]Yongwei Zhou, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao:
UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation. CoRR abs/2210.08249 (2022) - [i30]Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao:
MuGER2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering. CoRR abs/2210.10350 (2022) - [i29]Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan:
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. CoRR abs/2210.11265 (2022) - 2021
- [j54]Jing Xu, Haitao Niu, Tiejun Zhao, Xiaogang Gao, Ju Ye, Changjian Liang, Zhixin Liu, Jifeng Liang:
Robust Optimal Power Control and Subcarrier Allocation in Uplink OFDMA Network With Assistance of Mobile Relay. IEEE Access 9: 57475-57485 (2021) - [j53]Wei Zhang, Feng Jiang, Chifu Yang, Zhi-Peng Wang, Tie-Jun Zhao:
Research on Unmanned Surface Vehicles Environment Perception Based on the Fusion of Vision and Lidar. IEEE Access 9: 63107-63121 (2021) - [j52]Xiaoshu Zan, Guanqun Xu, Tiejun Zhao, Ruiming Wang, Linwang Dai:
Multi-Battery Block Module Power Converter for Electric Vehicle Driven by Switched Reluctance Motors. IEEE Access 9: 140609-140618 (2021) - [j51]Haipeng Sun, Rui Wang, Masao Utiyama, Benjamin Marie, Kehai Chen, Eiichiro Sumita, Tiejun Zhao:
Unsupervised Neural Machine Translation for Similar and Distant Language Pairs: An Empirical Study. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 10:1-10:17 (2021) - [j50]Chaoqun Duan, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Conghui Zhu, Tiejun Zhao:
Modeling Future Cost for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 770-781 (2021) - [j49]Guanlin Li, Lemao Liu, Conghui Zhu, Rui Wang, Tiejun Zhao, Shuming Shi:
Detecting Source Contextual Barriers for Understanding Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3158-3169 (2021) - [c204]Wang Xu, Kehai Chen, Tiejun Zhao:
Document-Level Relation Extraction with Reconstruction. AAAI 2021: 14167-14175 - [c203]Tingting Ma, Jin-Ge Yao, Chin-Yew Lin, Tiejun Zhao:
Issues with Entailment-based Zero-shot Text Classification. ACL/IJCNLP (2) 2021: 786-796 - [c202]Wang Xu, Kehai Chen, Tiejun Zhao:
Discriminative Reasoning for Document-level Relation Extraction. ACL/IJCNLP (Findings) 2021: 1653-1663 - [c201]Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao:
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. CIKM 2021: 771-781 - [c200]Yue Shang, Meiling Liu, Tiejun Zhao, Jiyun Zhou:
T-Bert: A Spam Review Detection Model Combining Group Intelligence and Personalized Sentiment Information. ICANN (5) 2021: 409-421 - [c199]Kaixin Ma, Meiling Liu, Tiejun Zhao, Jiyun Zhou, Yang Yu:
PTWA: Pre-Training with Word Attention for Chinese Named Entity Recognition. IJCNN 2021: 1-8 - [c198]Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios. NAACL-HLT 2021: 3975-3981 - [c197]Yongwei Zhou, Junwei Bao, Haipeng Sun, Jiahui Liang, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao:
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension. NLPCC (1) 2021: 439-452 - [c196]Chenyi Wang, Tianshu Liu, Tiejun Zhao:
HITMI&T at SemEval-2021 Task 5: Integrating Transformer and CRF for Toxic Spans Detection. SemEval@ACL/IJCNLP 2021: 870-874 - [i28]Pengbo Liu, Hailong Cao, Tiejun Zhao:
Gumbel-Attention for Multi-modal Machine Translation. CoRR abs/2103.08862 (2021) - [i27]Hailong Cao, Tiejun Zhao:
Word Embedding Transformation for Robust Unsupervised Bilingual Lexicon Induction. CoRR abs/2105.12297 (2021) - [i26]Wang Xu, Kehai Chen, Tiejun Zhao:
Discriminative Reasoning for Document-level Relation Extraction. CoRR abs/2106.01562 (2021) - [i25]Yongwei Zhou, Junwei Bao, Haipeng Sun, Jiahui Liang, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao:
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension. CoRR abs/2108.07994 (2021) - [i24]Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao:
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. CoRR abs/2108.09164 (2021) - [i23]Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei:
Responsive Listening Head Generation: A Benchmark Dataset and Baseline. CoRR abs/2112.13548 (2021) - 2020
- [j48]Yaojie Zhang, Bing Xu, Tiejun Zhao:
Convolutional multi-head self-attention on memory for aspect sentiment classification. IEEE CAA J. Autom. Sinica 7(4): 1038-1044 (2020) - [j47]Mingming Yang, Min Zhang, Kehai Chen, Rui Wang, Tiejun Zhao:
Neural Machine Translation with Target-Attention Model. IEICE Trans. Inf. Syst. 103-D(3): 684-694 (2020) - [j46]Yupeng Tian, Peng Zhang, Kaiyue Zhao, Zhenxing Du, Tiejun Zhao:
Application of Ag/AgCl Sensor for Chloride Monitoring of Mortar under Dry-Wet Cycles. Sensors 20(5): 1394 (2020) - [j45]Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
A Joint Sentence Scoring and Selection Framework for Neural Extractive Document Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 28: 671-681 (2020) - [j44]Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Unsupervised Neural Machine Translation With Cross-Lingual Language Representation Agreement. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1170-1182 (2020) - [j43]Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao, Muyun Yang, Hai Zhao:
Towards More Diverse Input Representation for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1586-1597 (2020) - [j42]Mingming Yang, Rui Wang, Kehai Chen, Xing Wang, Tiejun Zhao, Min Zhang:
A Novel Sentence-Level Agreement Architecture for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2585-2597 (2020) - [j41]Muyun Yang, Shujie Liu, Kehai Chen, Hongyang Zhang, Enbo Zhao, Tiejun Zhao:
A Hierarchical Clustering Approach to Fuzzy Semantic Representation of Rare Words in Neural Machine Translation. IEEE Trans. Fuzzy Syst. 28(5): 992-1002 (2020) - [c195]Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation. ACL 2020: 3525-3535 - [c194]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. ACL 2020: 4134-4145 - [c193]Ting Jiang, Bing Xu, Tiejun Zhao, Sheng Li:
CAN-GRU: A Hierarchical Model for Emotion Recognition in Dialogue. CNCL 2020: 374-387 - [c192]Zhenyu Zhao, Shuangzhi Wu, Muyun Yang, Kehai Chen, Tiejun Zhao:
Robust Machine Reading Comprehension by Learning Soft labels. COLING 2020: 2754-2759 - [c191]Haipeng Sun, Rui Wang, Kehai Chen, Xugang Lu, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training. COLING 2020: 4239-4250 - [c190]Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao:
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training. COLING 2020: 5799-5809 - [c189]Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei:
Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition. CVPR 2020: 11771-11780 - [c188]Chaoqun Duan, Lei Cui, Shuming Ma, Furu Wei, Conghui Zhu, Tiejun Zhao:
Multimodal Matching Transformer for Live Commenting. ECAI 2020: 1998-2005 - [c187]Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, Tiejun Zhao:
Cross Copy Network for Dialogue Generation. EMNLP (1) 2020: 1900-1910 - [c186]Mingming Yang, Xing Wang, Min Zhang, Tiejun Zhao:
Incorporating Phrase-Level Agreement into Neural Machine Translation. NLPCC (1) 2020: 416-428 - [c185]Zhen Li, Yaojie Zhang, Bing Xu, Tiejun Zhao:
CN-HIT-MI.T at SemEval-2020 Task 8: Memotion Analysis Based on BERT. SemEval@COLING 2020: 1100-1105 - [i22]Chaoqun Duan, Lei Cui, Shuming Ma, Furu Wei, Conghui Zhu, Tiejun Zhao:
Multimodal Matching Transformer for Live Commenting. CoRR abs/2002.02649 (2020) - [i21]Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Robust Unsupervised Neural Machine Translation with Adversarial Training. CoRR abs/2002.12549 (2020) - [i20]Chaoqun Duan, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Conghui Zhu, Tiejun Zhao:
Modeling Future Cost for Neural Machine Translation. CoRR abs/2002.12558 (2020) - [i19]Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei:
Look-into-Object: Self-supervised Structure Modeling for Object Recognition. CoRR abs/2003.14142 (2020) - [i18]Guanlin Li, Lemao Liu, Conghui Zhu, Tiejun Zhao, Shuming Shi:
Detecting and Understanding Generalization Barriers for Neural Machine Translation. CoRR abs/2004.02181 (2020) - [i17]Conghui Zhu, Guanlin Li, Lemao Liu, Tiejun Zhao, Shuming Shi:
Understanding Learning Dynamics for Neural Machine Translation. CoRR abs/2004.02199 (2020) - [i16]Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios. CoRR abs/2004.04507 (2020) - [i15]Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation. CoRR abs/2004.10171 (2020) - [i14]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. CoRR abs/2004.14088 (2020) - [i13]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark. CoRR abs/2010.07676 (2020) - [i12]Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao:
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training. CoRR abs/2010.10894 (2020) - [i11]Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, Tiejun Zhao:
Cross Copy Network for Dialogue Generation. CoRR abs/2010.11539 (2020) - [i10]Changzhen Ji, Conghui Zhu, Tiejun Zhao:
AI-lead Court Debate Case Investigation. CoRR abs/2010.11604 (2020) - [i9]Wang Xu, Kehai Chen, Tiejun Zhao:
Document-Level Relation Extraction with Reconstruction. CoRR abs/2012.11384 (2020)
2010 – 2019
- 2019
- [j40]Zhe Li, Zuquan Jin, Shuangshuang Shao, Tiejun Zhao, Penggang Wang:
Influence of Moisture Content on Electromagnetic Response of Concrete Studied Using a Homemade Apparatus. Sensors 19(21): 4637 (2019) - [j39]Penggang Wang, Tengfei Guo, Tiejun Zhao, Zhenxing Du, Zuquan Jin, Biqin Dong, Zhe Li:
Effect of Oxidization Temperatures and Aging on Performance of Carbonate Melt Oxidized Iridium Oxide pH Electrode. Sensors 19(21): 4756 (2019) - [j38]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) - [j37]Xuefeng Bai, Hailong Cao, Kehai Chen, Tiejun Zhao:
A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1639-1648 (2019) - [j36]Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Neural Machine Translation With Sentence-Level Topic Context. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 1970-1984 (2019) - [c184]Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation. ACL (1) 2019: 1235-1245 - [c183]Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, Tiejun Zhao:
Sentence-Level Agreement for Neural Machine Translation. ACL (1) 2019: 3076-3082 - [c182]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) 2019: 4418-4429 - [c181]Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, Tiejun Zhao:
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization. EMNLP/IJCNLP (1) 2019: 5688-5694 - [c180]Xu Wang, Chengda Tang, Xiaotian Zhao, Xuancai Li, Zhuolin Jin, Dequan Zheng, Tiejun Zhao:
Transfer Learning Methods for Spoken Language Understanding. ICMI 2019: 510-515 - [c179]Su Zhu, Zijian Zhao, Tiejun Zhao, Chengqing Zong, Kai Yu:
CATSLU: The 1st Chinese Audio-Textual Spoken Language Understanding Challenge. ICMI 2019: 521-525 - [c178]Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi:
Understanding and Improving Hidden Representations for Neural Machine Translation. NAACL-HLT (1) 2019: 466-477 - [c177]Chunpeng Ma, Akihiro Tamura, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Improving Neural Machine Translation with Neural Syntactic Distance. NAACL-HLT (1) 2019: 2032-2037 - [c176]Huanqin Wu, Muyun Yang, Jiaqi Wang, Junguo Zhu, Tiejun Zhao:
Target Oriented Data Generation for Quality Estimation of Machine Translation. NLPCC (1) 2019: 393-405 - [c175]Xiuming Qiao, Yue Zhang, Tiejun Zhao:
Learning Domain Invariant Word Representations for Parsing Domain Adaptation. NLPCC (1) 2019: 801-813 - [c174]Yaojie Zhang, Bing Xu, Tiejun Zhao:
CN-HIT-MI.T at SemEval-2019 Task 6: Offensive Language Identification Based on BiLSTM with Double Attention. SemEval@NAACL-HLT 2019: 564-570 - [c173]Kai Yan, Weiwei Cui, Tiejun Zhao:
Frequent Pattern-based Graph Exploration. VINCI 2019: 4:1-4:8 - [i8]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR abs/1905.06221 (2019) - [i7]Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation. CoRR abs/1908.09605 (2019) - [i6]Xuefeng Bai, Yue Zhang, Hailong Cao, Tiejun Zhao:
Duality Regularization for Unsupervised Bilingual Lexicon Induction. CoRR abs/1909.01013 (2019) - [i5]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability. CoRR abs/1909.04242 (2019) - 2018
- [j35]Xiaoning Zhu, Muyun Yang, Tiejun Zhao, Conghui Zhu:
Minimum Bayes-Risk Phrase Table Pruning for Pivot-Based Machine Translation in Internet of Things. IEEE Access 6: 55754-55764 (2018) - [j34]Kehai Chen, Tiejun Zhao, Muyun Yang:
Syntax-Based Context Representation for Statistical Machine Translation. IEICE Trans. Inf. Syst. 101-D(12): 3226-3237 (2018) - [j33]Xuefeng Bai, Hailong Cao, Tiejun Zhao:
Improving Vector Space Word Representations Via Kernel Canonical Correlation Analysis. ACM Trans. Asian Low Resour. Lang. Inf. Process. 17(4): 29:1-29:16 (2018) - [j32]Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu, Akihiro Tamura, Rui Wang, Masao Utiyama, Eiichiro Sumita:
A Neural Approach to Source Dependence Based Context Model for Statistical Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(2): 266-280 (2018) - [j31]Junwei Bao, Yeyun Gong, Nan Duan, Ming Zhou, Tiejun Zhao:
Question Generation With Doubly Adversarial Nets. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2230-2239 (2018) - [j30]Yalong Bai, Kuiyuan Yang, Tao Mei, Wei-Ying Ma, Tiejun Zhao:
Automatic Data Augmentation from Massive Web Images for Deep Visual Recognition. ACM Trans. Multim. Comput. Commun. Appl. 14(3): 69:1-69:20 (2018) - [c172]Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Syntax-Directed Attention for Neural Machine Translation. AAAI 2018: 4792-4799 - [c171]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 - [c170]Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
Neural Document Summarization by Jointly Learning to Score and Select Sentences. ACL (1) 2018: 654-663 - [c169]Chunpeng Ma, Akihiro Tamura, Masao Utiyama, Tiejun Zhao, Eiichiro Sumita:
Forest-Based Neural Machine Translation. ACL (1) 2018: 1253-1263 - [c168]Yalong Bai, Jianlong Fu, Tiejun Zhao, Tao Mei:
Deep Attention Neural Tensor Network for Visual Question Answering. ECCV (12) 2018: 21-37 - [c167]Nina Sviridova, Vladimir V. Savchenko, Maria Savchenko, Kazuyuki Aihara, Kunihiko Okada, Tiejun Zhao:
Reconstructed Dynamics of the Imaging Photoplethysmogram. EMBC 2018: 2969-2972 - [c166]Hailong Cao, Tiejun Zhao:
Point Set Registration for Unsupervised Bilingual Lexicon Induction. IJCAI 2018: 3991-3997 - [c165]Chaoqun Duan, Lei Cui, Xinchi Chen, Furu Wei, Conghui Zhu, Tiejun Zhao:
Attention-Fused Deep Matching Network for Natural Language Inference. IJCAI 2018: 4033-4040 - [i4]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) - [i3]Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
Neural Document Summarization by Jointly Learning to Score and Select Sentences. CoRR abs/1807.02305 (2018) - 2017
- [j29]Chunpeng Ma, Akihiro Tamura, Lemao Liu, Tiejun Zhao, Eiichiro Sumita:
Improving Feature-Rich Transition-Based Constituent Parsing Using Recurrent Neural Networks. IEICE Trans. Inf. Syst. 100-D(9): 2205-2214 (2017) - [c164]Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu:
Translation Prediction with Source Dependency-Based Context Representation. AAAI 2017: 3166-3172 - [c163]Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita:
Deterministic Attention for Sequence-to-Sequence Constituent Parsing. AAAI 2017: 3237-3243 - [c162]Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichi