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ORCIDLidong Bing
邴立东
Person information
- affiliation: Machine Intelligence Technology, DAMO Academy, Alibaba Group
- affiliation (former): Tencent AI Lab, Shenzhen, China
- affiliation (former): Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
- affiliation (former): Chinese University of Hong Kong, Hong Kong
- unicode name: 邴立东
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2020 – today
- 2023
[c109]Jia Guo, Stanley Kok, Lidong Bing:
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. EACL 2023: 2598-2609- [i85]Jia Guo, Stanley Kok, Lidong Bing:
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. CoRR abs/2304.00824 (2023) - [i84]Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, Soujanya Poria:
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. CoRR abs/2304.01933 (2023) - [i83]Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing:
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines. CoRR abs/2304.11076 (2023) - [i82]Ruochen Zhao, Xingxuan Li, Shafiq R. Joty, Chengwei Qin, Lidong Bing:
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. CoRR abs/2305.03268 (2023) - [i81]Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing:
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. CoRR abs/2305.08503 (2023) - [i80]Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing:
Easy-to-Hard Learning for Information Extraction. CoRR abs/2305.09193 (2023) - [i79]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. CoRR abs/2305.09509 (2023) - [i78]Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. CoRR abs/2305.11255 (2023) - [i77]Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing:
Zero-Shot Text Classification via Self-Supervised Tuning. CoRR abs/2305.11442 (2023) - [i76]Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua:
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. CoRR abs/2305.11719 (2023) - [i75]Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing:
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation. CoRR abs/2305.11791 (2023) - [i74]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing:
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. CoRR abs/2305.12678 (2023) - [i73]Chenhui Shen, Liying Cheng, Yang You, Lidong Bing:
Are Large Language Models Good Evaluators for Abstractive Summarization? CoRR abs/2305.13091 (2023) - [i72]Lu Xu, Lidong Bing, Wei Lu:
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition. CoRR abs/2305.13142 (2023) - [i71]Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria:
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. CoRR abs/2305.13269 (2023) - 2022
- [c108]Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si:
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. ACL (Findings) 2022: 45-57 - [c107]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. ACL (1) 2022: 1639-1657 - [c106]Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng:
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. ACL (Findings) 2022: 1672-1681 - [c105]Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. ACL (1) 2022: 2251-2262 - [c104]Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si:
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. ACL (1) 2022: 2277-2287 - [c103]Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si:
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. ACL (Findings) 2022: 2521-2535 - [c102]Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si:
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. COLING 2022: 4381-4396 - [c101]Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing:
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. COLING 2022: 5666-5677 - [c100]Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng:
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning. COLING 2022: 6916-6926 - [c99]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. EMNLP 2022: 6456-6472 - [c98]Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si:
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. EMNLP 2022: 6878-6890 - [c97]Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
ConNER: Consistency Training for Cross-lingual Named Entity Recognition. EMNLP 2022: 8438-8449 - [c96]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, Sharifah Mahani Aljunied:
Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction. EMNLP 2022: 8472-8487 - [c95]Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Zhen Hai, Lidong Bing:
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. EMNLP 2022: 10085-10096 - [c94]Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria:
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. EMNLP 2022: 10114-10133 - [c93]Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si:
SentBS: Sentence-level Beam Search for Controllable Summarization. EMNLP 2022: 10256-10265 - [c92]Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing:
Interventional Training for Out-Of-Distribution Natural Language Understanding. EMNLP 2022: 11627-11638 - [i70]Meng Zhou, Xin Li, Yue Jiang, Lidong Bing:
Enhancing Cross-lingual Prompting with Mask Token Augmentation. CoRR abs/2202.07255 (2022) - [i69]Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges. CoRR abs/2203.01054 (2022) - [i68]Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si:
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. CoRR abs/2203.09101 (2022) - [i67]Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng:
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. CoRR abs/2203.10900 (2022) - [i66]Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si:
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. CoRR abs/2203.12257 (2022) - [i65]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng:
Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction. CoRR abs/2205.12696 (2022) - [i64]Wei Han, Hui Chen, Zhen Hai, Soujanya Poria
, Lidong Bing:
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. CoRR abs/2209.05040 (2022) - [i63]Zihao Fu, Yijiang River Dong, Lidong Bing, Wai Lam:
Informative Text Generation from Knowledge Triples. CoRR abs/2209.12733 (2022) - [i62]Weiwen Xu, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks. CoRR abs/2210.08855 (2022) - [i61]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. CoRR abs/2210.09773 (2022) - [i60]Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si:
SentBS: Sentence-level Beam Search for Controllable Summarization. CoRR abs/2210.14502 (2022) - [i59]Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing:
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions. CoRR abs/2211.03524 (2022) - [i58]Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Lidong Bing, Shafiq R. Joty, Luo Si:
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. CoRR abs/2211.08794 (2022) - [i57]Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
ConNER: Consistency Training for Cross-lingual Named Entity Recognition. CoRR abs/2211.09394 (2022) - [i56]Yew Ken Chia, Lidong Bing, Sharifah Aljunied Mahani, Luo Si, Soujanya Poria:
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. CoRR abs/2211.10018 (2022) - [i55]Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier:
On the Effectiveness of Parameter-Efficient Fine-Tuning. CoRR abs/2211.15583 (2022) - [i54]Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si:
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader. CoRR abs/2212.04755 (2022) - [i53]Bosheng Ding, Chengwei Qin, Linlin Liu, Lidong Bing, Shafiq R. Joty, Boyang Li:
Is GPT-3 a Good Data Annotator? CoRR abs/2212.10450 (2022) - [i52]Xingxuan Li, Yutong Li, Linlin Liu, Lidong Bing, Shafiq R. Joty:
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective. CoRR abs/2212.10529 (2022) - 2021
- [j12]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [j11]Yongzhen Wang, Kaisong Song, Lidong Bing, Xiaozhong Liu:
Harvest shopping advice: Neural Question Generation from multiple information sources in E-commerce. Neurocomputing 433: 252-262 (2021) - [c91]Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu:
Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. AAAI 2021: 13701-13708 - [c90]Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
Towards Generative Aspect-Based Sentiment Analysis. ACL/IJCNLP (2) 2021: 504-510 - [c89]Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. ACL/IJCNLP (1) 2021: 2208-2222 - [c88]Lu Xu, Yew Ken Chia, Lidong Bing:
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. ACL/IJCNLP (1) 2021: 4755-4766 - [c87]Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li:
Bootstrapped Unsupervised Sentence Representation Learning. ACL/IJCNLP (1) 2021: 5168-5180 - [c86]Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Luo Si, Chunyan Miao:
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER. ACL/IJCNLP (1) 2021: 5834-5846 - [c85]Junhao Liu, Zhen Hai, Min Yang, Lidong Bing:
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews. ACL/IJCNLP (1) 2021: 5927-5936 - [c84]Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si:
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding. ACL/IJCNLP (1) 2021: 6341-6353 - [c83]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Multilingual AMR Parsing with Noisy Knowledge Distillation. EMNLP (Findings) 2021: 2778-2789 - [c82]Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam:
Aspect-based Sentiment Analysis in Question Answering Forums. EMNLP (Findings) 2021: 4582-4591 - [c81]Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam:
Aspect Sentiment Quad Prediction as Paraphrase Generation. EMNLP (1) 2021: 9209-9219 - [c80]Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam:
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. EMNLP (1) 2021: 9220-9230 - [c79]Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing:
Better Feature Integration for Named Entity Recognition. NAACL-HLT 2021: 3457-3469 - [c78]Jian Yuan, Liying Cheng, Ruidan He, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang:
Overview of Argumentative Text Understanding for AI Debater Challenge. NLPCC (2) 2021: 548-568 - [i51]Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si:
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. CoRR abs/2103.06459 (2021) - [i50]Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing:
Better Feature Integration for Named Entity Recognition. CoRR abs/2104.05316 (2021) - [i49]Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. CoRR abs/2106.03164 (2021) - [i48]Lu Xu, Yew Ken Chia, Lidong Bing:
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. CoRR abs/2107.12214 (2021) - [i47]Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. CoRR abs/2108.13655 (2021) - [i46]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Multilingual AMR Parsing with Noisy Knowledge Distillation. CoRR abs/2109.15196 (2021) - [i45]Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam:
Aspect Sentiment Quad Prediction as Paraphrase Generation. CoRR abs/2110.00796 (2021) - [i44]Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si:
MReD: A Meta-Review Dataset for Controllable Text Generation. CoRR abs/2110.07474 (2021) - [i43]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Aljunied Mahani, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. CoRR abs/2110.07679 (2021) - [i42]Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si:
Knowledge Based Multilingual Language Model. CoRR abs/2111.10962 (2021) - 2020
- [j10]Tianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang:
FOX: Fast Overlapping Community Detection Algorithm in Big Weighted Networks. ACM Trans. Soc. Comput. 3(3): 16:1-16:23 (2020) - [c77]Zihao Fu, Lidong Bing, Wai Lam:
Open Domain Event Text Generation. AAAI 2020: 7748-7755 - [c76]Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan:
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. AAAI 2020: 8212-8219 - [c75]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. AAAI 2020: 8600-8607 - [c74]Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. AAAI 2020: 9258-9265 - [c73]Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. ACL 2020: 280-290 - [c72]Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Aljunied Mahani, Lidong Bing:
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling. ACL 2020: 5898-5905 - [c71]Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel:
Dynamic Topic Tracker for KB-to-Text Generation. COLING 2020: 2369-2380 - [c70]Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si:
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. EMNLP (1) 2020: 1187-1197 - [c69]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method by Mutual Information Maximization. EMNLP (1) 2020: 1601-1610 - [c68]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. EMNLP (1) 2020: 2162-2172 - [c67]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. EMNLP (1) 2020: 2339-2349 - [c66]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. EMNLP (1) 2020: 3561-3567 - [c65]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks. EMNLP (1) 2020: 6045-6057 - [c64]Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si:
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. EMNLP (1) 2020: 7000-7011 - [c63]Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing:
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training. EMNLP (1) 2020: 7386-7399 - [c62]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. EMNLP (1) 2020: 9183-9193 - [c61]Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. IJCAI 2020: 3672-3678 - [c60]Zihao Fu, Bei Shi, Lidong Bing, Wai Lam:
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. AACL/IJCNLP 2020: 258-268 - [i41]Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. CoRR abs/2002.10101 (2020) - [i40]Piji Li, Lidong Bing, Zhongyu Wei, Wai Lam:
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization. CoRR abs/2004.03589 (2020) - [i39]Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si:
Knowledge Graph Empowered Entity Description Generation. CoRR abs/2004.14813 (2020) - [i38]Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan:
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. CoRR abs/2005.08188 (2020) - [i37]Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing:
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification. CoRR abs/2009.11538 (2020) - [i36]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method byMutual Information Maximization. CoRR abs/2009.12061 (2020) - [i35]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. CoRR abs/2010.01268 (2020) - [i34]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. CoRR abs/2010.02609 (2020) - [i33]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. CoRR abs/2010.02696 (2020) - [i32]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. CoRR abs/2010.04383 (2020) - [i31]Xin Li, Lidong Bing, Wenxuan Zhang, Zheng Li, Wai Lam:
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond. CoRR abs/2010.12405 (2020) - [i30]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. CoRR abs/2011.01549 (2020) - [i29]Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. CoRR abs/2011.11499 (2020)
2010 – 2019
- 2019
- [c59]Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan:
Learning to Write Stories with Thematic Consistency and Wording Novelty. AAAI 2019: 1715-1722 - [c58]Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. AAAI 2019: 6399-6406 - [c57]Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. AAAI 2019: 6423-6430 - [c56]Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. AAAI 2019: 6714-6721 - [c55]Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. W-NUT@EMNLP 2019: 34-41 - [c54]Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qi Zhang:
Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning. EMNLP/IJCNLP (1) 2019: 198-207 - [c53]Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam:
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. EMNLP/IJCNLP (1) 2019: 250-260 - [c52]Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing:
Hierarchical Pointer Net Parsing. EMNLP/IJCNLP (1) 2019: 1007-1017 - [c51]Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan:
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations. EMNLP/IJCNLP (1) 2019: 1909-1919 - [c50]Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. EMNLP/IJCNLP (1) 2019: 3214-3224 - [c49]