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2020 – today
- 2024
[c141]Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang:
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. ACL (1) 2024: 1280-1297- [c140]Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui:
Can Large Multimodal Models Uncover Deep Semantics Behind Images? ACL (Findings) 2024: 1898-1912 - [c139]Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu:
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. ACL (Findings) 2024: 2057-2080 - [c138]Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui:
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. ACL (Findings) 2024: 7655-7671 - [c137]Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui:
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. ACL (1) 2024: 9426-9439 - [c136]Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui:
Large Language Models are not Fair Evaluators. ACL (1) 2024: 9440-9450 - [c135]Weiyao Luo, Junfeng Ran, Zailong Tian, Sujian Li, Zhifang Sui:
FaGANet: An Evidence-Based Fact-Checking Model with Integrated Encoder Leveraging Contextual Information. LREC/COLING 2024: 7082-7088 - [c134]Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Zhifang Sui:
A Survey on In-context Learning. EMNLP 2024: 1107-1128 - [c133]Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui:
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 2024: 1531-1555 - [c132]Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui:
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. EMNLP (Findings) 2024: 3287-3301 - [c131]Weiyao Luo, Suncong Zheng, Heming Xia, Weikang Wang, Yan Lei, Tianyu Liu, Shuang Chen, Zhifang Sui:
Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens. EMNLP (Findings) 2024: 4034-4040 - [c130]Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang:
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. EMNLP (Findings) 2024: 10420-10438 - [i73]Fangwei Zhu, Damai Dai, Zhifang Sui:
Language Models Understand Numbers, at Least Partially. CoRR abs/2401.03735 (2024) - [i72]Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang:
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. CoRR abs/2401.06066 (2024) - [i71]Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui:
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. CoRR abs/2401.07851 (2024) - [i70]Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui:
Can Large Multimodal Models Uncover Deep Semantics Behind Images? CoRR abs/2402.11281 (2024) - [i69]Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang
, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei:
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR abs/2402.13064 (2024) - [i68]Xiangdi Meng, Damai Dai, Weiyao Luo, Zhe Yang, Shaoxiang Wu, Xiaochen Wang, Peiyi Wang, Qingxiu Dong, Liang Chen, Zhifang Sui:
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization. CoRR abs/2402.16141 (2024) - [i67]Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang:
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. CoRR abs/2402.16444 (2024) - [i66]Fangwei Zhu, Peiyi Wang, Zhifang Sui:
Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition. CoRR abs/2402.18873 (2024) - [i65]Jingyuan Ma, Damai Dai, Zhifang Sui:
Large Language Models Are Unconscious of Unreasonability in Math Problems. CoRR abs/2403.19346 (2024) - [i64]Yudong Wang, Damai Dai, Zhifang Sui:
Exploring Activation Patterns of Parameters in Language Models. CoRR abs/2405.17799 (2024) - [i63]Weiyao Luo, Suncong Zheng, Heming Xia, Weikang Wang, Yan Lei, Tianyu Liu, Shuang Chen, Zhifang Sui:
Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens. CoRR abs/2406.10985 (2024) - [i62]Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui:
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? CoRR abs/2406.12809 (2024) - [i61]Xiaochen Wang, Junqing He, Zhe yang, Yiru Wang, Xiangdi Meng, Kunhao Pan, Zhifang Sui:
FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering. CoRR abs/2407.02964 (2024) - [i60]Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - [i59]Fangwei Zhu, Dian Li, Jiajun Huang, Gang Liu, Hui Wang, Zhifang Sui:
Chip-Tuning: Classify Before Language Models Say. CoRR abs/2410.06541 (2024) - [i58]Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei:
Self-Boosting Large Language Models with Synthetic Preference Data. CoRR abs/2410.06961 (2024) - [i57]Xiaochen Wang, Junqing He, Liang Chen, Reza Haf Zhe Yang, Yiru Wang, Xiangdi Meng, Kunhao Pan, Zhifang Sui:
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine. CoRR abs/2410.17021 (2024) - 2023
- [c129]Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. ACL (1) 2023: 2231-2243 - [c128]Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei:
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. ACL (Findings) 2023: 4005-4019 - [c127]Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Enhancing Continual Relation Extraction via Classifier Decomposition. ACL (Findings) 2023: 10053-10062 - [c126]Fangwei Zhu, Jifan Yu, Hailong Jin, Lei Hou, Juanzi Li, Zhifang Sui:
Learn to Not Link: Exploring NIL Prediction in Entity Linking. ACL (Findings) 2023: 10846-10860 - [c125]Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang:
Guiding AMR Parsing with Reverse Graph Linearization. EMNLP (Findings) 2023: 13-26 - [c124]Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui:
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. EMNLP (Findings) 2023: 2009-2026 - [c123]Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui:
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation. EMNLP (Findings) 2023: 3909-3925 - [c122]Shoujie Tong, Heming Xia, Damai Dai, Runxin Xu, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization. EMNLP (Findings) 2023: 5214-5227 - [c121]Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Yunbo Cao, Zhifang Sui:
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. EMNLP (Findings) 2023: 6540-6558 - [c120]Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui:
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. EMNLP (Findings) 2023: 13209-13221 - [c119]Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li:
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. EMNLP (Findings) 2023: 14557-14570 - [c118]Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li:
Statistical Knowledge Assessment for Large Language Models. NeurIPS 2023 - [c117]Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui:
Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. NLPCC (2) 2023: 185-197 - [c116]Damai Dai, Wenbin Jiang, Jiyuan Zhang, Yajuan Lyu, Zhifang Sui, Baobao Chang:
Mixture-of-Experts for Biomedical Question Answering. NLPCC (1) 2023: 604-615 - [c115]Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Zhifang Sui:
Neural Knowledge Bank for Pretrained Transformers. NLPCC (2) 2023: 772-783 - [i56]Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui:
A Survey for In-context Learning. CoRR abs/2301.00234 (2023) - [i55]Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Enhancing Continual Relation Extraction via Classifier Decomposition. CoRR abs/2305.04636 (2023) - [i54]Yifan Song, Peiyi Wang, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li:
RepCL: Exploring Effective Representation for Continual Text Classification. CoRR abs/2305.07289 (2023) - [i53]Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li:
Statistical Knowledge Assessment for Generative Language Models. CoRR abs/2305.10519 (2023) - [i52]Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. CoRR abs/2305.14652 (2023) - [i51]Shoujie Tong, Heming Xia, Damai Dai, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization. CoRR abs/2305.14760 (2023) - [i50]Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Ziwei Qin, Zhifang Sui:
ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. CoRR abs/2305.15028 (2023) - [i49]Fangwei Zhu, Jifan Yu, Hailong Jin, Juanzi Li, Lei Hou, Zhifang Sui:
Learn to Not Link: Exploring NIL Prediction in Entity Linking. CoRR abs/2305.15725 (2023) - [i48]Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui:
Large Language Models are not Fair Evaluators. CoRR abs/2305.17926 (2023) - [i47]Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui:
Making Large Language Models Better Reasoners with Alignment. CoRR abs/2309.02144 (2023) - [i46]Qingxiu Dong, Li Dong, Ke Xu, Guangyan Zhou, Yaru Hao, Zhifang Sui, Furu Wei:
Large Language Model for Science: A Study on P vs. NP. CoRR abs/2309.05689 (2023) - [i45]Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li:
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. CoRR abs/2310.06362 (2023) - [i44]Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui:
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. CoRR abs/2310.08309 (2023) - [i43]Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang:
Guiding AMR Parsing with Reverse Graph Linearization. CoRR abs/2310.08860 (2023) - [i42]Peiyi Wang, Lei Li, Zhihong Shao, R. X. Xu, Damai Dai, Yifei Li, Deli Chen, Y. Wu, Zhifang Sui:
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. CoRR abs/2312.08935 (2023) - 2022
- [c114]Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. ACL (2) 2022: 333-339 - [c113]Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, Zhifang Sui:
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. ACL (1) 2022: 932-946 - [c112]Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan:
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. ACL (1) 2022: 6723-6737 - [c111]Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei:
StableMoE: Stable Routing Strategy for Mixture of Experts. ACL (1) 2022: 7085-7095 - [c110]Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) 2022: 7888-7915 - [c109]Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei:
Knowledge Neurons in Pretrained Transformers. ACL (1) 2022: 8493-8502 - [c108]Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui:
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. EMNLP (Findings) 2022: 3214-3229 - [c107]Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, Houfeng Wang:
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. EMNLP 2022: 3740-3751 - [c106]Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li:
Calibrating Factual Knowledge in Pretrained Language Models. EMNLP (Findings) 2022: 5937-5947 - [c105]Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui:
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. EMNLP 2022: 6264-6278 - [c104]Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. IJCAI 2022: 4397-4403 - [c103]Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu:
CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) 2022: 212-224 - [c102]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) 2022: 2482-2496 - [c101]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. NAACL-HLT 2022: 5012-5024 - [c100]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT 2022: 5025-5036 - [c99]Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang:
Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension. NLPCC (2) 2022: 29-41 - [i41]Heming Xia, Tao Ge, Furu Wei, Zhifang Sui:
Lossless Speedup of Autoregressive Translation with Generalized Aggressive Decoding. CoRR abs/2203.16487 (2022) - [i40]Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu:
Mixture of Experts for Biomedical Question Answering. CoRR abs/2204.07469 (2022) - [i39]Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei:
StableMoE: Stable Routing Strategy for Mixture of Experts. CoRR abs/2204.08396 (2022) - [i38]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR abs/2204.08875 (2022) - [i37]Zihan Wang, Peiyi Wang, Tianyu Liu, Yunbo Cao, Zhifang Sui, Houfeng Wang:
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. CoRR abs/2204.13413 (2022) - [i36]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR abs/2205.00241 (2022) - [i35]Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. CoRR abs/2205.00633 (2022) - [i34]Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Qiaoqiao She, Zhifang Sui:
Neural Knowledge Bank for Pretrained Transformers. CoRR abs/2208.00399 (2022) - [i33]Peiyi Wang, Yifan Song, Tianyu Liu, Rundong Gao, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach. CoRR abs/2209.00243 (2022) - [i32]Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li:
Calibrating Factual Knowledge in Pretrained Language Models. CoRR abs/2210.03329 (2022) - [i31]Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui:
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. CoRR abs/2210.04497 (2022) - [i30]Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui:
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. CoRR abs/2210.11279 (2022) - [i29]Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Zhifang Sui, Yunbo Cao:
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. CoRR abs/2212.07112 (2022) - [i28]Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui:
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity. CoRR abs/2212.09272 (2022) - [i27]Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei:
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. CoRR abs/2212.10559 (2022) - 2021
- [c98]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. AAAI 2021: 13415-13423 - [c97]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CIKM 2021: 1969-1978 - [c96]Chengwen Wang, Xiang Liu, Gaoqi Rao, Endong Xun, Zhifang Sui:
Chinese Predicate Chunk Knowledge Base Construction and Internal Boundary Recognition. CLSW (2) 2021: 130-144 - [c95]Weiming Peng, Zuntian Wei, Jihua Song, Shiwen Yu, Zhifang Sui:
Formalized Chinese Sentence Pattern Structure and Its Hierarchical Analysis. CLSW (1) 2021: 293-305 - [c94]Chengwen Wang, Gaoqi Rao, Endong Xun, Zhifang Sui:
Chunk Extraction and Analysis Based on Frame-Verbs. CLSW (1) 2021: 423-431 - [c93]Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu:
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. NAACL-HLT 2021: 5524-5531 - [c92]Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. NLPCC (1) 2021: 786-797 - [c91]Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Tianyu Liu, Zhifang Sui, Baobao Chang:
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. RepL4NLP@ACL-IJCNLP 2021: 83-89 - [i26]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. CoRR abs/2102.08585 (2021) - [i25]Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang:
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension. CoRR abs/2103.14443 (2021) - [i24]Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei:
Knowledge Neurons in Pretrained Transformers. CoRR abs/2104.08696 (2021) - [i23]Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan:
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. CoRR abs/2104.08704 (2021) - [i22]Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang:
Problems and Countermeasures in Natural Language Processing Evaluation. CoRR abs/2104.09712 (2021) - [i21]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR abs/2106.08087 (2021) - [i20]Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui:
Explicit Interaction Network for Aspect Sentiment Triplet Extraction. CoRR abs/2106.11148 (2021) - [i19]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CoRR abs/2108.12844 (2021) - [i18]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. CoRR abs/2109.13023 (2021) - [i17]Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. CoRR abs/2110.07855 (2021) - [i16]Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun:
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. CoRR abs/2112.13610 (2021) - 2020
- [c90]Kexiang Wang, Baobao Chang, Zhifang Sui:
Soap: Soaking Capacity Optimization for Multi-Document Summarization. CIKM 2020: 1525-1534 - [c89]Hongying Zan, Wenxin Li, Kunli Zhang, Yajuan Ye, Baobao Chang, Zhifang Sui:
Building a Pediatric Medical Corpus: Word Segmentation and Named Entity Annotation. CLSW 2020: 652-664 - [c88]Kunli Zhang, Xiaohui Ren, Lei Zhuang, Hongying Zan, Weicong Zhang, Zhifang Sui:
Construction of Chinese Medicine Knowledge Base. CLSW 2020: 665-675 - [c87]Kexiang Wang, Tianyu Liu, Baobao Chang, Zhifang Sui:
An Anchor-Based Automatic Evaluation Metric for Document Summarization. COLING 2020: 5696-5701 - [c86]Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui:
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoNLL 2020: 596-608 - [c85]Kexiang Wang, Baobao Chang, Zhifang Sui:
A Spectral Method for Unsupervised Multi-Document Summarization. EMNLP (1) 2020: 435-445 - [c84]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. EMNLP (1) 2020: 8189-8202 - [c83]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. LREC 2020: 6852-6860 - [i15]Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. CoRR abs/2003.00857 (2020) - [i14]Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. CoRR abs/2003.01473 (2020) - [i13]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. CoRR abs/2003.02756 (2020) - [i12]Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui:
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. CoRR abs/2009.12765 (2020) - [i11]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. CoRR abs/2010.03760 (2020) - [i10]Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui:
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoRR abs/2010.03777 (2020) - [i9]Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui:
Coarse-to-Fine Entity Representations for Document-level Relation Extraction. CoRR abs/2012.02507 (2020)
2010 – 2019
- 2019
- [c82]Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui:
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. AAAI 2019: 6786-6793 - [c81]Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui:
WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks. AAAI 2019: 9943-9944 - [c80]Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun:
Towards Fine-grained Text Sentiment Transfer. ACL (1) 2019: 2013-2022 - [c79]Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui:
Towards Comprehensive Description Generation from Factual Attribute-value Tables. ACL (1) 2019: 5985-5996 - [c78]Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun:
Learning to Control the Fine-grained Sentiment for Story Ending Generation. ACL (1) 2019: 6020-6026 - [c77]Tongfeng Guan, Kunli Zhang, Xuemin Duan, Hongying Zan, Zhifang Sui:
Construction of the Contemporary Chinese Common Verbs' Semantic Framework Dictionary. CLSW 2019: 546-553 - [c76]Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun:
Pun-GAN: Generative Adversarial Network for Pun Generation. EMNLP/IJCNLP (1) 2019: 3386-3391 - [c75]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. IJCAI 2019: 5116-5122 - [i8]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, Xu Sun:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. CoRR abs/1905.10060 (2019) - [i7]Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun:
Pun-GAN: Generative Adversarial Network for Pun Generation. CoRR abs/1910.10950 (2019) - 2018
- [c74]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-Text Generation by Structure-Aware Seq2seq Learning. AAAI 2018: 4881-4888 - [c73]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. AAAI 2018: 5414-5421 - [c72]Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui:
A Multi-View Fusion Neural Network for Answer Selection. AAAI 2018: 5422-5429 - [c71]Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui:
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. AAAI 2018: 5916-5923 - [c70]Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. ACL (1) 2018: 2473-2482 - [c69]Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang, Xiaobo Wang, Zhifang Sui:
Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. CIKM 2018: 1703-1706 - [c68]Odmaa Byambasuren, Zhifang Sui, Baobao Chang:
A Research on Construction of Knowledge Fusion Network in Chinese and English Languages. CLSW 2018: 698-704 - [c67]Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang:
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. EMNLP 2018: 1402-1411 - [c66]Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. EMNLP 2018: 2496-2506 - [c65]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
EventWiki: A Knowledge Base of Major Events. LREC 2018 - [c64]Tingsong Jiang, Jing Liu, Chin-Yew Lin, Zhifang Sui:
Revisiting Distant Supervision for Relation Extraction. LREC 2018 - [c63]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
SeRI: A Dataset for Sub-event Relation Inference from an Encyclopedia. NLPCC (2) 2018: 268-277 - [i6]Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. CoRR abs/1805.08028 (2018) - 2017
- [c62]Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui:
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. ACL (1) 2017: 2069-2077 - [c61]Kunli Zhang, Yingjie Han, Yuxiang Jia, Lingling Mu, Zhifang Sui, Hongying Zan:
Study on the Annotation Framework of Chinese Logic Complement Semantics. CLSW 2017: 359-373 - [c60]Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang:
Affinity-Preserving Random Walk for Multi-Document Summarization. EMNLP 2017: 210-220 - [c59]Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui:
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. EMNLP 2017: 1790-1795 - [c58]Tianyu Liu, Bingzhen Wei, Baobao Chang, Zhifang Sui:
Large-Scale Simple Question Generation by Template-Based Seq2seq Learning. NLPCC 2017: 75-87 - [c57]Lei Sha, Feng Qian, Zhifang Sui:
Will Repeated Reading Benefit Natural Language Understanding? NLPCC 2017: 366-379 - [e2]Yue Zhang, Zhifang Sui:
Proceedings of the 9th SIGHAN Workshop on Chinese Language Processing, SIGHAN@IJCNLP 2017, Taipei, Taiwan, December 1, 2017. Association for Computational Linguistics 2017, ISBN 978-1-948087-09-4 [contents] - [i5]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. CoRR abs/1709.00155 (2017) - [i4]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-text Generation by Structure-aware Seq2seq Learning. CoRR abs/1711.09724 (2017) - 2016
- [c56]Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui:
Implicit Discourse Relation Classification via Multi-Task Neural Networks. AAAI 2016: 2750-2756 - [c55]Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui:
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. ACL (1) 2016 - [c54]Kunli Zhang, Lingling Mu, Hongying Zan, Yingjie Han, Zhifang Sui:
Study on Modality Annotation Framework of Modern Chinese. CLSW 2016: 291-305 - [c53]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. CCL 2016: 285-298 - [c52]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui:
Towards Time-Aware Knowledge Graph Completion. COLING 2016: 1715-1724 - [c51]Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li:
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. COLING 2016: 2870-2879 - [c50]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou:
Event Detection with Burst Information Networks. COLING 2016: 3276-3286 - [c49]Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui:
News Stream Summarization using Burst Information Networks. EMNLP 2016: 784-794 - [c48]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Capturing Argument Relationship for Chinese Semantic Role Labeling. EMNLP 2016: 2011-2016 - [c47]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Encoding Temporal Information for Time-Aware Link Prediction. EMNLP 2016: 2350-2354 - [c46]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. HLT-NAACL 2016: 428-434 - [c45]Tao Ge, Lei Cui, Heng Ji, Baobao Chang, Zhifang Sui:
Discovering Concept-Level Event Associations from a Text Stream. NLPCC/ICCPOL 2016: 413-424 - [i3]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. CoRR abs/1603.01333 (2016) - [i2]Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui:
Implicit Discourse Relation Classification via Multi-Task Neural Networks. CoRR abs/1603.02776 (2016) - [i1]Tao Ge, Qing Dou, Xiaoman Pan, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou:
Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment. CoRR abs/1609.08237 (2016) - 2015
- [c44]Tao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Chang, Zhifang Sui:
Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles. ACL (1) 2015: 575-585 - [c43]Tao Ge, Heng Ji, Baobao Chang, Zhifang Sui:
One Tense per Scene: Predicting Tense in Chinese Conversations. ACL (2) 2015: 668-673 - [c42]Tao Ge, Wenzhe Pei, Baobao Chang, Zhifang Sui:
Distinguishing Specific and Daily Topics. APWeb 2015: 80-91 - [c41]Weiming Peng, Jihua Song, Zhifang Sui, Dongdong Guo:
Formal Schema of Diagrammatic Chinese Syntactic Analysis. CLSW 2015: 701-710 - [c40]Zhen Wang, Baobao Chang, Zhifang Sui:
Distantly Supervised Neural Network Model for Relation Extraction. CCL 2015: 253-266 - [c39]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Recognizing Textual Entailment Using Probabilistic Inference. EMNLP 2015: 1620-1625 - [c38]Zhen Wang, Tingsong Jiang, Baobao Chang, Zhifang Sui:
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks. EMNLP 2015: 1626-1631 - [c37]Chuncheng Xiang, Tingsong Jiang, Baobao Chang, Zhifang Sui:
ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation. EMNLP 2015: 2419-2429 - [c36]Chuncheng Xiang, Baobao Chang, Zhifang Sui:
An Ontology Matching Approach Based on Affinity-Preserving Random Walks. IJCAI 2015: 1471-1478 - [e1]Liang-Chih Yu, Zhifang Sui, Yue Zhang, Vincent Ng:
Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing, SIGHAN@IJCNLP 2015, Beijing, China, July 30-31, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-57-0 [contents] - 2014
- [c35]Zhifang Sui:
The Construction of language Resource and Knowledge Base for Chinese Language Computing. CIPS-SIGHAN 2014: 2 - [c34]Huiming Duan, Zhifang Sui, Tao Ge:
The CIPS-SIGHAN CLP 2014 Chinese Word Segmentation Bake-off. CIPS-SIGHAN 2014: 90-95 - [c33]Tingsong Jiang, Lei Sha, Zhifang Sui:
Event Schema Induction Based on Relational Co-occurrence over Multiple Documents. NLPCC 2014: 23-33 - [c32]Tao Ge, Wenjie Li, Zhifang Sui:
A semi-supervised method for opinion target extraction. WWW (Companion Volume) 2014: 275-276 - 2013
- [c31]Xingxing Zhang, Jianwen Zhang, Junyu Zeng, Jun Yan, Zheng Chen, Zhifang Sui:
Towards Accurate Distant Supervision for Relational Facts Extraction. ACL (2) 2013: 810-815 - [c30]Tao Ge, Zhifang Sui, Baobao Chang:
Exploiting collaborative filtering techniques for automatic assessment of student free-text responses. CIKM 2013: 1493-1496 - [c29]Xingxing Zhang, Tao Ge, Zhifang Sui:
Learning to Extract Attribute Values from a Search Engine with Few Examples. CCL 2013: 154-165 - [c28]Tao Ge, Baobao Chang, Sujian Li, Zhifang Sui:
Event-Based Time Label Propagation for Automatic Dating of News Articles. EMNLP 2013: 1-11 - 2012
- [c27]Huiming Duan, Zhifang Sui, Ye Tian, Wenjie Li:
The CIPS-SIGHAN CLP 2012 ChineseWord Segmentation onMicroBlog Corpora Bakeoff. CIPS-SIGHAN 2012: 35-40 - [c26]Wenjie Li, Jiwei Li, Ye Tian, Zhifang Sui:
Fine-Grained Classification of Named Entities by Fusing Multi-Features. COLING (Posters) 2012: 693-702 - 2010
- [c25]Zhimin Wang, Shiwen Yu, Zhifang Sui:
The Chinese Noun Metaphors Knowledge Base and its Use in the Recognition of Metaphors. Web Intelligence/IAT Workshops 2010: 186-189 - [c24]Zhifang Sui, Yao Liu, Jun Zhao, Hong Zhang:
The Development of an NLP-Based Chinese Ontology Construction Platform. Web Intelligence/IAT Workshops 2010: 190-194 - [c23]Yanqiu Shao, Zhifang Sui, Ning Mao:
Chinese semantic role labeling based on semantic knowledge. NLPKE 2010: 1-7 - [c22]Xin Wang, Weiwei Sun, Zhifang Sui:
A lightweight Chinese semantic dependency parsing model based on sentence compression. NLPKE 2010: 1-7
2000 – 2009
- 2009
- [c21]Weiwei Sun, Zhifang Sui, Meng Wang:
Prediction of Thematic Rank for Structured Semantic Role Labeling. ACL/IJCNLP (2) 2009: 253-256 - [c20]Weiwei Sun, Zhifang Sui, Meng Wang, Xin Wang:
Chinese Semantic Role Labeling with Shallow Parsing. EMNLP 2009: 1475-1483 - [c19]Zhifang Sui, Yao Liu, Yongwei Hu:
Discriminatively Modeling Commonality of Term Types for Extracting Relation from Small Corpora. Web Intelligence/IAT Workshops 2009: 251-254 - [c18]Wei Kang, Zhifang Sui, Yao Liu:
Research on Automatic Chinese Multi-word Term Extraction Based on Integration of Web Information and Term Component. Web Intelligence/IAT Workshops 2009: 267-270 - [c17]Wei Kang, Zhifang Sui:
Research on Automatic Chinese Multi-word Term Extraction Based on Term Component. ICCPOL 2009: 57-67 - [c16]Qingliang Zhao, Zhifang Sui:
An Integrated Approach for Concept Learning and Relation Extraction. ICCPOL 2009: 354-361 - [c15]Weiwei Sun, Zhifang Sui:
Chinese Function Tag Labeling. PACLIC 2009: 530-539 - 2008
- [j1]Weiguang Qu, Sujian Li, Xiaojun Zhang, Yunfang Wu, Zhifang Sui, Shiwen Yu:
A WSD Model for Corpus Construction. Int. J. Comput. Process. Orient. Lang. 21(1): 43-53 (2008) - [c14]Yongwei Hu, Zhifang Sui:
Extracting Hyponymy Relation between Chinese Terms. AIRS 2008: 567-572 - [c13]Weiwei Sun, Zhifang Sui, Haifeng Wang:
Prediction of Maximal Projection for Semantic Role Labeling. COLING 2008: 833-840 - [c12]Weiwei Sun, Hongzhan Li, Zhifang Sui:
The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models. CoNLL 2008: 243-247 - [c11]Yao Liu, Zhou Yang Zhou, Zhifang Sui, Zhenguo Wang:
Research on Non-interactive Literature-Based Knowledge Discovery. CSSE (1) 2008: 747-752 - [c10]Zhifang Sui, Jun Zhao, Wei Kang, Qingliang Zhao:
The Building of a CBD-Based Domain Ontology in Chinese. Web Intelligence/IAT Workshops 2008: 303-306 - [c9]Yao Liu, Zhifang Sui, Yang Zhou, Zhenguo Wang:
Research on the Key Technology Based-NLP Of Chinese Medicine Pulse's Mathematical Quantifying. Web Intelligence/IAT Workshops 2008: 307-310 - [c8]Qingliang Zhao, Zhifang Sui:
To extract Ontology attribute value automatically based on WWW. NLPKE 2008: 1-7 - 2007
- [c7]Weiguang Qu, Zhifang Sui, Genlin Ji, Shiwen Yu, Junsheng Zhou:
A Collocation-Based WSD Model: RFR-SUM. IEA/AIE 2007: 23-32 - 2006
- [c6]Yao Liu, Zhifang Sui, Xuefei Chen:
On Method and Automatic Construction Theory of Domain Ontology Based on Depended Text. ICICIC (2) 2006: 63-66 - [c5]Yi-Rong Chen, Qin Lu, Wenjie Li, Zhifang Sui, Luning Ji:
A Study on Terminology Extraction Based on Classified Corpora. LREC 2006: 2383-2386 - 2005
- [c4]Zhifang Sui, Gaoying Cui, Wansong Ding, Qinlong Zhang:
Domain Knowledge Engineering Based on Encyclopedias and the Web Text. ALR/ALRN@IJCNLP 2005 - 2000
- [c3]Zhifang Sui, Jun Zhao, Dekai Wu:
An Information-Theory-Based Feature Type Analysis for the Modeling of Statistical Parsing. ACL 2000: 472-479
1990 – 1999
- 1999
- [c2]Dekai Wu, Jun Zhao, Zhifang Sui:
An Information-Theoretic Empirical Analysis of Dependency-Based Feature Types for Word Prediction Models. EMNLP 1999 - [c1]Dekai Wu, Zhifang Sui, Jun Zhao:
An information-based method for selecting feature types for word prediction. EUROSPEECH 1999: 2051-2054
Coauthor Index
[c134] [i60] [c125] [c117] [c116] [i56] [i43] [c114] [c113] [c111] [c110] [c109] [c104] [c103] [c102] [c101] [c100] [c99] [i40] [i39] [i38] [i36] [i35] [c98] [c97] [c93] [c91] [i26] [i25] [i22] [i21] [i20] [i19] [i18] [i17] [c90] [c89] [c87] [c86] [c85] [c84] [c83] [i13] [i12] [i11] [i10] [i9] [c82] [c80] [c79] [c78] [c76] [c75] [i8] [i7] [c74] [c73] [c72] [c71] [c70] [c68] [c67] [c66] [c65] [c63] [i6] [c62] [c60] [c59] [c58] [i5] [i4] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [i3] [i1] [c44] [c43] [c42] [c40] [c39] [c38] [c37] [c36] [c30] [c28]
[c138] [c136] [c133] [i71] [i62] [i60] [c129] [c127] [c124] [i55] [i52] [i51] [i48] [i47] [c114] [c113] [c112] [c108] [c107] [c105] [c104] [c102] [c101] [c100] [i38] [i37] [i36] [i35] [i33] [i31] [i30] [i29] [c98] [c97] [c93] [c91] [i26] [i23] [i20] [i19] [i18] [i17] [c87] [c86] [c84] [c83] [i13] [i11] [i10] [c82] [c79] [c78] [c74] [c73] [c70] [c67] [i6] [c60] [c59] [c58] [i5] [i4] [c52] [c47]
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