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2020 – today
- 2023
[j73]Dongling Li, Pengchao Wu, Yuehu Dong, Jinghang Gu
, Longhua Qian, Guodong Zhou:
Joint learning-based causal relation extraction from biomedical literature. J. Biomed. Informatics 139: 104318 (2023)- [j72]Sancheng Peng, Rong Zeng, Lihong Cao, Aimin Yang, Jianwei Niu, Chengqing Zong, Guodong Zhou:
Multi-source domain adaptation method for textual emotion classification using deep and broad learning. Knowl. Based Syst. 260: 110173 (2023) - [j71]Huanqin Ping, Dong Zhang, Suyang Zhu, Junhui Li, Guodong Zhou:
A Benchmark for Hierarchical Emotion Cause Extraction in Spoken Dialogues. IEEE Signal Process. Lett. 30: 558-562 (2023) - [c269]Xiaoyi Bao, Xiaotong Jiang, Zhongqing Wang, Yue Zhang, Guodong Zhou:
Opinion Tree Parsing for Aspect-based Sentiment Analysis. ACL (Findings) 2023: 7971-7984 - [c268]Zhong Qian, Tiening Sun, Ting Zou, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Speculation and Negation Scope Resolution via Machine Reading Comprehension Formulation with Data Augmentation. DASFAA (3) 2023: 487-496 - [c267]Rui Peng, Yu Hong, Zhiling Jin, Jianmin Yao, Guodong Zhou:
Feature Differentiation and Fusion for Semantic Text Matching. ECIR (2) 2023: 32-46 - [c266]Zhiling Jin, Yu Hong, Rui Peng, Jianmin Yao, Guodong Zhou:
Intention-Aware Neural Networks for Question Paraphrase Identification. ECIR (1) 2023: 474-488 - [c265]Qiang Chen, Dong Zhang, Shoushan Li, Guodong Zhou:
A Unified MRC Framework with Multi-Query for Multi-modal Relation Triplets Extraction. ICME 2023: 552-557 - [c264]Zhongqiu Li, Yu Hong, Shiming He, Shuai Yang, Guodong Zhou:
A Mixture of Experts with Adaptive Semantic Encoding for Event Detection. IJCNN 2023: 1-7 - [c263]Dong Liu, Yu Hong, Chuyao Ding, Jianmin Yao, Guodong Zhou:
EBAMQ: Exposure Bias Alleviation via Moment Matching for Question Generation. IJCNN 2023: 1-8 - [c262]Dong Liu, Yu Hong, Jianmin Yao, Guodong Zhou:
Question Generation via Generative Adversarial Networks. IJCNN 2023: 1-8 - [c261]Qingting Xu, Yu Hong, Jiaxiang Chen, Jianmin Yao, Guodong Zhou:
Data Augmentation via Back-translation for Aspect Term Extraction. IJCNN 2023: 1-8 - [c260]Qingting Xu, Yu Hong, Fubang Zhao, Kaisong Song, Jiaxiang Chen, Yangyang Kang, Guodong Zhou:
GCN-based End-to-End Model for Comparative Opinion Quintuple Extraction. IJCNN 2023: 1-6 - [i14]Xiaoyi Bao, Xiaotong Jiang, Zhongqing Wang, Yue Zhang, Guodong Zhou:
Opinion Tree Parsing for Aspect-based Sentiment Analysis. CoRR abs/2306.08925 (2023) - [i13]Juntao Li, Zecheng Tang, Yuyang Ding, Pinzheng Wang, Pei Guo, Wangjie You, Dan Qiao, Wenliang Chen, Guohong Fu, Qiaoming Zhu, Guodong Zhou, Min Zhang:
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch. CoRR abs/2309.10706 (2023) - 2022
- [j70]Jinghang Gu, Emmanuele Chersoni, Xing Wang, Chu-Ren Huang, Longhua Qian, Guodong Zhou:
LitCovid ensemble learning for COVID-19 multi-label classification. Database J. Biol. Databases Curation 2022(2022) (2022) - [j69]Jinghang Gu, Rong Xiang, Xing Wang, Jing Li, Wenjie Li, Longhua Qian, Guodong Zhou, Chu-Ren Huang:
Multi-probe attention neural network for COVID-19 semantic indexing. BMC Bioinform. 23(1): 259 (2022) - [j68]Xiaoya Gao, Jingjing Wang, Shoushan Li, Min Zhang, Guodong Zhou:
Cognition-driven multimodal personality classification. Sci. China Inf. Sci. 65(10) (2022) - [j67]Mingyang Li, Yuqing Xing, Fang Kong, Guodong Zhou:
Towards better entity linking. Frontiers Comput. Sci. 16(3): 162308 (2022) - [j66]Xiabing Zhou, Zhong-Qing Wang, Xing-Wei Liang, Min Zhang, Guodong Zhou:
Neural Emotion Detection via Personal Attributes. J. Comput. Sci. Technol. 37(5): 1146-1160 (2022) - [j65]Hongchao Ma, Zhongqing Wang, Xiabing Zhou, Guodong Zhou, Qinglei Zhou:
Emotion Recognition with Conversational Generation Transfer. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 70:1-70:17 (2022) - [j64]Linqing Chen, Junhui Li, Zhengxian Gong, Min Zhang, Guodong Zhou:
One Type Context Is Not Enough: Global Context-aware Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(6): 1-14 (2022) - [j63]Mengyu Guan, Zhongqing Wang, Guodong Zhou:
Response Generation via Structure-Aware Constraints. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(6): 1-16 (2022) - [c259]Zhong Qian, Heng Zhang, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning. COLING 2022: 2622-2632 - [c258]Zhongqiu Li, Yu Hong, Jie Wang, Shiming He, Jianmin Yao, Guodong Zhou:
Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection. COLING 2022: 2633-2638 - [c257]Zicheng Li, Shoushan Li, Guodong Zhou:
Pre-trained Token-replaced Detection Model as Few-shot Learner. COLING 2022: 3274-3284 - [c256]Xiaolin Xing, Yu Hong, Minhan Xu, Jianmin Yao, Guodong Zhou:
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation. COLING 2022: 4481-4491 - [c255]Xiaoqin Chang, Sophia Yat Mei Lee, Suyang Zhu, Shoushan Li, Guodong Zhou:
One-Teacher and Multiple-Student Knowledge Distillation on Sentiment Classification. COLING 2022: 7042-7052 - [c254]Shichen Li, Zhongqing Wang, Xiaotong Jiang, Guodong Zhou:
Cross-Domain Sentiment Classification using Semantic Representation. EMNLP (Findings) 2022: 289-299 - [c253]Xiaotong Jiang, Zhongqing Wang, Guodong Zhou:
Semantic Simplification for Sentiment Classification. EMNLP 2022: 11022-11032 - [c252]Jiaxiang Chen, Yu Hong, Qingting Xu, Jianmin Yao, Guodong Zhou:
Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features. ICTAI 2022: 303-310 - [c251]Shiming He, Yu Hong, Zhongqiu Li, Jianmin Yao, Guodong Zhou:
Event Detection with Cross-Sentence Graph Convolutional Networks. ICTAI 2022: 334-341 - [c250]Zujun Dou, Yu Hong, Yu Sun, Xiao Li, Guodong Zhou:
Enhancing Implicit Discourse Relation Classification by Perceiving External Semantics and Convolving Internal Semantics. ICTAI 2022: 500-507 - [c249]Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks. IJCAI 2022: 4338-4345 - [c248]Xin Tan, Longyin Zhang, Fang Kong, Guodong Zhou:
Towards Discourse-Aware Document-Level Neural Machine Translation. IJCAI 2022: 4383-4389 - [c247]Yuqing Xing, Longyin Zhang, Fang Kong, Guodong Zhou:
Discourse Parsing Enhanced by Discourse Dependence Perception. AACL/IJCNLP (1) 2022: 354-363 - [c246]Yuxiang Lu, Yu Hong, Xiao Li, Guodong Zhou:
Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism. PRICAI (2) 2022: 347-358 - [i12]Zicheng Li, Shoushan Li, Guodong Zhou:
Pre-trained Token-replaced Detection Model as Few-shot Learner. CoRR abs/2203.03235 (2022) - [i11]Dongling Li, Pengchao Wu, Yuehu Dong, Jinghang Gu, Longhua Qian, Guodong Zhou:
Joint Learning-based Causal Relation Extraction from Biomedical Literature. CoRR abs/2208.01316 (2022) - [i10]Xin Tan, Longyin Zhang, Guodong Zhou:
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation. CoRR abs/2208.09118 (2022) - 2021
- [j62]Yifan Shao, Haoru Li, Jinghang Gu, Longhua Qian, Guodong Zhou:
Extraction of causal relations based on SBEL and BERT model. Database J. Biol. Databases Curation 2021 (2021) - [j61]Xiabing Zhou, Zhongqing Wang, Min Zhou, Qifa Wang, Shoushan Li, Min Zhang, Guodong Zhou:
Sentiment classification via user and product interactive modeling. Sci. China Inf. Sci. 64(12) (2021) - [j60]Ying Ding, Junhui Li, Zhengxian Gong, Guodong Zhou:
Improving neural sentence alignment with word translation. Frontiers Comput. Sci. 15(1): 151302 (2021) - [j59]Huiyan Xu, Zhongqing Wang, Yifei Zhang, Xiaolan Weng, Zhijian Wang, Guodong Zhou:
Document structure model for survey generation using neural network. Frontiers Comput. Sci. 15(4): 154325 (2021) - [j58]Suyang Zhu, Shoushan Li, Guodong Zhou:
Domanial and dimensional adversarial learning for emotion regression. Neurocomputing 420: 281-289 (2021) - [j57]Bowei Zou, Rongtao Huang, Zengzhuang Xu, Yu Hong, Guodong Zhou:
Language Adaptation for Entity Relation Classification via Adversarial Neural Networks. J. Comput. Sci. Technol. 36(1): 207-220 (2021) - [c245]Dong Zhang, Xincheng Ju, Wei Zhang, Junhui Li, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing. AAAI 2021: 14338-14346 - [c244]Dong Zhang, Suzhong Wei, Shoushan Li, Hanqian Wu, Qiaoming Zhu, Guodong Zhou:
Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance. AAAI 2021: 14347-14355 - [c243]Dong Zhang, Zheng Hu, Shoushan Li, Hanqian Wu, Qiaoming Zhu, Guodong Zhou:
More than Text: Multi-modal Chinese Word Segmentation. ACL/IJCNLP (2) 2021: 550-557 - [c242]Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou:
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation. ACL/IJCNLP (1) 2021: 896-907 - [c241]Linqing Chen, Junhui Li, Zhengxian Gong, Boxing Chen, Weihua Luo, Min Zhang, Guodong Zhou:
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training. ACL/IJCNLP (1) 2021: 2851-2861 - [c240]Longyin Zhang, Fang Kong, Guodong Zhou:
Adversarial Learning for Discourse Rhetorical Structure Parsing. ACL/IJCNLP (1) 2021: 3946-3957 - [c239]Zujun Dou, Yu Hong, Yu Sun, Guodong Zhou:
CVAE-based Re-anchoring for Implicit Discourse Relation Classification. EMNLP (Findings) 2021: 1275-1283 - [c238]Longyin Zhang, Xin Tan, Fang Kong, Guodong Zhou:
EDTC: A Corpus for Discourse-Level Topic Chain Parsing. EMNLP (Findings) 2021: 1304-1312 - [c237]Xin Tan, Longyin Zhang, Guodong Zhou:
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation. EMNLP (1) 2021: 2530-2540 - [c236]Xincheng Ju, Dong Zhang, Rong Xiao, Junhui Li, Shoushan Li, Min Zhang, Guodong Zhou:
Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection. EMNLP (1) 2021: 4395-4405 - [c235]Xiaoya Gao, Jingjing Wang, Shoushan Li, Guodong Zhou:
Cognition-Driven Real-Time Personality Detection via Language-Guided Contrastive Visual Attention. ICME 2021: 1-6 - [c234]Linqing Chen, Junhui Li, Zhengxian Gong, Xiangyu Duan, Boxing Chen, Weihua Luo, Min Zhang, Guodong Zhou:
Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents. IJCAI 2021: 3794-3800 - [c233]Xin Tan, Longyin Zhang, Guodong Zhou:
Coreference Resolution: Are the Eliminated Spans Totally Worthless? NLPCC (1) 2021: 3-14 - [i9]Xin Tan, Longyin Zhang, Guodong Zhou:
Are Eliminated Spans Useless for Coreference Resolution? Not at all. CoRR abs/2101.00737 (2021) - 2020
- [j56]Dong Zhang, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Multi-Modal Sentiment Classification With Independent and Interactive Knowledge via Semi-Supervised Learning. IEEE Access 8: 22945-22954 (2020) - [j55]Ying Ding, Junhui Li, Zhengxian Gong, Guodong Zhou:
Word-Pair Relevance Modeling with Multi-View Neural Attention Mechanism for Sentence Alignment. J. Comput. Sci. Technol. 35(3): 617-628 (2020) - [j54]Fang Kong, Min Zhang, Guodong Zhou:
Chinese Zero Pronoun Resolution: A Chain-to-chain Approach. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 2:1-2:21 (2020) - [j53]Dong Han, Junhui Li, Yachao Li, Min Zhang, Guodong Zhou:
Explicitly Modeling Word Translations in Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 15:1-15:17 (2020) - [j52]Fan Xu, Jian Luo, Mingwen Wang, Guodong Zhou:
Speech-Driven End-to-End Language Discrimination toward Chinese Dialects. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(5): 62:1-62:24 (2020) - [j51]Ruirui Bai, Zhongqing Wang, Fang Kong, Shoushan Li, Guodong Zhou:
Neural Co-training for Sentiment Classification with Product Attributes. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(5): 74:1-74:17 (2020) - [j50]Xue-Feng Xi, Zhou Pi, Guodong Zhou:
Global Encoding for Long Chinese Text Summarization. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(6): 84:1-84:17 (2020) - [j49]Zhongqing Wang, Qingying Sun, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Neural Stance Detection With Hierarchical Linguistic Representations. IEEE ACM Trans. Audio Speech Lang. Process. 28: 635-645 (2020) - [c232]Jiancheng Wang, Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning. AAAI 2020: 9177-9184 - [c231]Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang, Guodong Zhou:
Aspect Sentiment Classification with Document-level Sentiment Preference Modeling. ACL 2020: 3667-3677 - [c230]Longyin Zhang, Yuqing Xing, Fang Kong, Peifeng Li, Guodong Zhou:
A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure. ACL 2020: 6386-6395 - [c229]Minghui An, Jingjing Wang, Shoushan Li, Guodong Zhou:
Multimodal Topic-Enriched Auxiliary Learning for Depression Detection. COLING 2020: 1078-1089 - [c228]Zhongqing Wang, Xiujun Zhu, Yue Zhang, Shoushan Li, Guodong Zhou:
Sentiment Forecasting in Dialog. COLING 2020: 2448-2458 - [c227]Rongtao Huang, Bowei Zou, Yu Hong, Wei Zhang, AiTi Aw, Guodong Zhou:
NUT-RC: Noisy User-generated Text-oriented Reading Comprehension. COLING 2020: 2687-2698 - [c226]Huibin Ruan, Yu Hong, Yang Xu, Zhen Huang, Guodong Zhou, Min Zhang:
Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition. COLING 2020: 3168-3178 - [c225]Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou:
Improving AMR Parsing with Sequence-to-Sequence Pre-training. EMNLP (1) 2020: 2501-2511 - [c224]Dong Zhang, Xincheng Ju, Junhui Li, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Multi-modal Multi-label Emotion Detection with Modality and Label Dependence. EMNLP (1) 2020: 3584-3593 - [c223]Liangqing Wu, Dong Zhang, Qiyuan Liu, Shoushan Li, Guodong Zhou:
Speaker Personality Recognition With Multimodal Explicit Many2many Interactions. ICME 2020: 1-6 - [c222]Dong Zhang, Weisheng Zhang, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Modeling both Intra- and Inter-modal Influence for Real-Time Emotion Detection in Conversations. ACM Multimedia 2020: 503-511 - [c221]Xincheng Ju, Dong Zhang, Junhui Li, Guodong Zhou:
Transformer-based Label Set Generation for Multi-modal Multi-label Emotion Detection. ACM Multimedia 2020: 512-520 - [c220]Longyin Zhang, Fang Kong, Guodong Zhou:
Syntax-Guided Sequence to Sequence Modeling for Discourse Segmentation. NLPCC (2) 2020: 95-107 - [c219]Haoru Li, Haoliang Xu, Longhua Qian, Guodong Zhou:
Multi-layer Joint Learning of Chinese Nested Named Entity Recognition Based on Self-attention Mechanism. NLPCC (2) 2020: 144-155 - [c218]Rongtao Huang, Jing Ye, Bowei Zou, Yu Hong, Guodong Zhou:
Adversarial BiLSTM-CRF Architectures for Extra-Propositional Scope Resolution. NLPCC (2) 2020: 156-168 - [c217]Peipei Zhu, Zhongqing Wang, Hongling Wang, Shoushan Li, Guodong Zhou:
Event Detection with Document Structure and Graph Modelling. NLPCC (1) 2020: 593-603 - [i8]Longyin Zhang, Yuqing Xing, Fang Kong, Peifeng Li, Guodong Zhou:
A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure. CoRR abs/2005.02680 (2020) - [i7]Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou:
Improving AMR Parsing with Sequence-to-Sequence Pre-training. CoRR abs/2010.01771 (2020)
2010 – 2019
- 2019
- [j48]Suwen Liu, Wei Cheng, Longhua Qian, Guodong Zhou:
Combining relation extraction with function detection for BEL statement extraction. Database J. Biol. Databases Curation 2019: bay133 (2019) - [j47]Jinghang Gu, Fuqing Sun, Longhua Qian, Guodong Zhou:
Chemical-induced disease relation extraction via attention-based distant supervision. BMC Bioinform. 20(1): 403:1-403:14 (2019) - [j46]Qingying Sun, Zhongqing Wang, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Stance detection via sentiment information and neural network model. Frontiers Comput. Sci. 13(1): 127-138 (2019) - [j45]Yu Hong, Kai Wang, Weiyi Ge, Yingying Qiu, Guodong Zhou:
Cursor momentum for fascination measurement. Frontiers Comput. Sci. 13(2): 396-412 (2019) - [j44]Yu Hong, Siyuan Ding, Yang Xu, Xiaoxia Jiang, Yu Wang, Jianmin Yao, Qiaoming Zhu, Guodong Zhou:
Focus-sensitive relation disambiguation for implicit discourse relation detection. Frontiers Comput. Sci. 13(6): 1266-1281 (2019) - [j43]Fan Wu, Shoushan Li, Guodong Zhou:
基于LSTM和多特征组合的电影评论专业程度分类 (Movie Review Professionalism Classification Using LSTM and Features Fusion). 计算机科学 46(6A): 74-79 (2019) - [j42]Suwen Liu, Yifan Shao, Longhua Qian, Guodong Zhou:
Hierarchical sequence labeling for extracting BEL statements from biomedical literature. BMC Medical Informatics Decis. Mak. 19-S(2): 55-65 (2019) - [c216]Suyang Zhu, Shoushan Li, Guodong Zhou:
Adversarial Attention Modeling for Multi-dimensional Emotion Regression. ACL (1) 2019: 471-480 - [c215]Sheng Xu, Peifeng Li, Fang Kong, Qiaoming Zhu, Guodong Zhou:
Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese. ACL (1) 2019: 608-618 - [c214]Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network. ACL (1) 2019: 3548-3557 - [c213]Xin Tan, Longyin Zhang, Deyi Xiong, Guodong Zhou:
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 1576-1585 - [c212]Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, Shuming Shi:
A Discrete CVAE for Response Generation on Short-Text Conversation. EMNLP/IJCNLP (1) 2019: 1898-1908 - [c211]Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw:
Negative Focus Detection via Contextual Attention Mechanism. EMNLP/IJCNLP (1) 2019: 2251-2261 - [c210]Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou:
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation. EMNLP/IJCNLP (1) 2019: 5458-5467 - [c209]Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang:
Emotion Detection with Neural Personal Discrimination. EMNLP/IJCNLP (1) 2019: 5498-5506 - [c208]Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou:
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. EMNLP/IJCNLP (1) 2019: 5580-5589 - [c207]Dong Zhang, Liangqing Wu, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Multi-Modal Language Analysis with Hierarchical Interaction-Level and Selection-Level Attentions. ICME 2019: 724-729 - [c206]Dong Zhang, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Modeling the Clause-Level Structure to Multimodal Sentiment Analysis via Reinforcement Learning. ICME 2019: 730-735 - [c205]Dong Zhang, Liangqing Wu, Changlong Sun, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations. IJCAI 2019: 5415-5421 - [c204]Dong Zhang, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Effective Sentiment-relevant Word Selection for Multi-modal Sentiment Analysis in Spoken Language. ACM Multimedia 2019: 148-156 - [c203]Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Document-Level Event Factuality Identification via Adversarial Neural Network. NAACL-HLT (1) 2019: 2799-2809 - [c202]Yang Xu, Qiyuan Liu, Dong Zhang, Shoushan Li, Guodong Zhou:
Many vs. Many Query Matching with Hierarchical BERT and Transformer. NLPCC (1) 2019: 155-167 - [c201]Qiyuan Liu, Liangqing Wu, Yang Xu, Dong Zhang, Shoushan Li, Guodong Zhou:
Hierarchical-Gate Multimodal Network for Human Communication Comprehension. NLPCC (2) 2019: 210-219 - [c200]Longyin Zhang, Xin Tan, Fang Kong, Guodong Zhou:
A Recursive Information Flow Gated Model for RST-Style Text-Level Discourse Parsing. NLPCC (2) 2019: 231-241 - [c199]Hongling Wang, Renshou Wu, Zhixu Li, Zhongqing Wang, Zhigang Chen, Guodong Zhou:
Triple-Joint Modeling for Question Generation Using Cross-Task Autoencoder. NLPCC (2) 2019: 298-307 - [c198]Rongtao Huang, Bowei Zou, Hongling Wang, Peifeng Li, Guodong Zhou:
Event Factuality Detection in Discourse. NLPCC (2) 2019: 404-414 - [c197]Jiaxuan Sheng, Bowei Zou, Zhengxian Gong, Yu Hong, Guodong Zhou:
Chinese Event Factuality Detection. NLPCC (2) 2019: 486-496 - [c196]Yu Sun, Huibin Ruan, Yu Hong, Chenghao Wu, Min Zhang, Guodong Zhou:
Multi-grain Representation Learning for Implicit Discourse Relation Recognition. NLPCC (1) 2019: 725-736 - [c195]Yun Gao, Guodong Zhou, Hon-Ki Tsang, Chester Shu:
Two-Dimensional van der Waals Heterostructure Tunneling Photodiodes on Silicon Nitride Waveguides. OFC 2019: 1-3 - [i6]Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang:
Emotion Detection with Neural Personal Discrimination. CoRR abs/1908.10703 (2019) - [i5]Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou:
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation. CoRR abs/1909.00136 (2019) - [i4]Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou:
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. CoRR abs/1910.09260 (2019) - [i3]Jun Gao,