default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKewei Tu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c102]Chaoyi Ai, Kewei Tu:
Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields. AAAI 2024: 17638-17646- [c101]Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang:
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. AAAI 2024: 19458-19467 - [c100]Yida Zhao, Chao Lou, Kewei Tu:
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models. ACL (1) 2024: 1543-1556 - [c99]Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, Kewei Tu:
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale. ACL (1) 2024: 2640-2657 - [c98]Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. ACL (Findings) 2024: 7683-7694 - [c97]Haoyi Wu, Kewei Tu:
Layer-Condensed KV Cache for Efficient Inference of Large Language Models. ACL (1) 2024: 11175-11188 - [c96]Ning Cheng, Zhaohui Yan, Ziming Wang, Zhijie Li, Jiaming Yu, Zilong Zheng, Kewei Tu, Jinan Xu, Wenjuan Han:
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL. ICIC (LNAI 1) 2024: 50-61 - [c95]Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu:
Augmenting Transformers with Recursively Composed Multi-grained Representations. ICLR 2024 - [i69]Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, Kewei Tu:
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale. CoRR abs/2403.08293 (2024) - [i68]Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. CoRR abs/2404.02022 (2024) - [i67]Zhuo Chen, Chengyue Jiang, Kewei Tu:
Using Interpretation Methods for Model Enhancement. CoRR abs/2404.02068 (2024) - [i66]Wenyang Hui, Chengyue Jiang, Yan Wang, Kewei Tu:
RoT: Enhancing Large Language Models with Reflection on Search Trees. CoRR abs/2404.05449 (2024) - [i65]Ning Cheng, Zhaohui Yan, Ziming Wang, Zhijie Li, Jiaming Yu, Zilong Zheng, Kewei Tu, Jinan Xu, Wenjuan Han:
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL. CoRR abs/2405.06410 (2024) - [i64]Haoyi Wu, Kewei Tu:
Layer-Condensed KV Cache for Efficient Inference of Large Language Models. CoRR abs/2405.10637 (2024) - [i63]Qingyang Zhu, Xiang Hu, Pengyu Ji, Wei Wu, Kewei Tu:
Unsupervised Morphological Tree Tokenizer. CoRR abs/2406.15245 (2024) - [i62]Chao Lou, Zixia Jia, Zilong Zheng, Kewei Tu:
Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers. CoRR abs/2406.16747 (2024) - [i61]Yida Zhao, Chao Lou, Kewei Tu:
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models. CoRR abs/2407.17406 (2024) - [i60]Chaoyi Ai, Yong Jiang, Shen Huang, Pengjun Xie, Kewei Tu:
Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation. CoRR abs/2407.18562 (2024) - [i59]Xiang Hu, Zhihao Teng, Wei Wu, Kewei Tu:
Efficient Long-range Language Modeling with Self-supervised Causal Retrieval. CoRR abs/2410.01651 (2024) - 2023
- [c94]Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu:
Graph Propagation based Data Augmentation for Named Entity Recognition. ACL (2) 2023: 110-118 - [c93]Wei Liu
, Songlin Yang, Kewei Tu:
Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role. ACL (Findings) 2023: 918-931 - [c92]Chao Lou, Kewei Tu:
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints. ACL (2) 2023: 1918-1929 - [c91]Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu:
Do PLMs Know and Understand Ontological Knowledge? ACL (1) 2023: 3080-3101 - [c90]Haoyi Wu, Kewei Tu:
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation. ACL (Findings) 2023: 7613-7636 - [c89]Songlin Yang, Kewei Tu:
Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection. ACL (1) 2023: 8420-8433 - [c88]Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu:
Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. ACL (1) 2023: 11597-11609 - [c87]Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu:
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field. ACL (1) 2023: 13695-13710 - [c86]Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu:
COMBO: A Complete Benchmark for Open KG Canonicalization. EACL 2023: 340-357 - [c85]Zhuo Chen, Chengyue Jiang, Kewei Tu:
Using Interpretation Methods for Model Enhancement. EMNLP 2023: 424-438 - [c84]Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu:
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. EMNLP (Findings) 2023: 1662-1669 - [c83]Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, Yi Zhou:
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset. EMNLP (Findings) 2023: 6444-6458 - [c82]Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu:
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks. EMNLP 2023: 7512-7526 - [c81]Chao Lou, Kewei Tu:
AMR Parsing with Causal Hierarchical Attention and Pointers. EMNLP 2023: 8942-8955 - [c80]Pengyu Ji, Songlin Yang, Kewei Tu:
Improving Span Representation by Efficient Span-Level Attention. EMNLP (Findings) 2023: 11184-11192 - [c79]Xiang Hu, Xinyu Kong, Kewei Tu:
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification. ICLR 2023 - [c78]Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang:
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. SemEval@ACL 2023: 2014-2028 - [i58]Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu:
COMBO: A Complete Benchmark for Open KG Canonicalization. CoRR abs/2302.03905 (2023) - [i57]Xiang Hu, Xinyu Kong, Kewei Tu:
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification. CoRR abs/2303.02860 (2023) - [i56]Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, Yong Jiang:
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. CoRR abs/2305.03688 (2023) - [i55]Chao Lou, Kewei Tu:
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints. CoRR abs/2306.02671 (2023) - [i54]Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. CoRR abs/2307.00370 (2023) - [i53]Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang:
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding. CoRR abs/2308.10529 (2023) - [i52]Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu:
Do PLMs Know and Understand Ontological Knowledge? CoRR abs/2309.05936 (2023) - [i51]Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu:
Augmenting transformers with recursively composed multi-grained representations. CoRR abs/2309.16319 (2023) - [i50]Chao Lou, Kewei Tu:
AMR Parsing with Causal Hierarchical Attention and Pointers. CoRR abs/2310.11964 (2023) - [i49]Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu:
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. CoRR abs/2310.14997 (2023) - [i48]Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu:
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks. CoRR abs/2310.17238 (2023) - [i47]Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, Yi Zhou:
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset. CoRR abs/2311.05113 (2023) - [i46]Haoyi Wu, Kewei Tu:
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation. CoRR abs/2311.15211 (2023) - 2022
- [c77]Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu:
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference. AAAI 2022: 10822-10830 - [c76]Songlin Yang, Kewei Tu:
Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing. ACL (Findings) 2022: 1428-1434 - [c75]Songlin Yang, Kewei Tu:
Headed-Span-Based Projective Dependency Parsing. ACL (1) 2022: 2188-2200 - [c74]Songlin Yang, Kewei Tu:
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks. ACL (1) 2022: 2403-2416 - [c73]Chao Lou, Songlin Yang, Kewei Tu:
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing. ACL (1) 2022: 6183-6198 - [c72]Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. EMNLP (Findings) 2022: 5925-5936 - [c71]Songlin Yang, Kewei Tu:
Semantic Dependency Parsing with Edge GNNs. EMNLP (Findings) 2022: 6096-6102 - [c70]Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu:
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. EMNLP 2022: 6836-6847 - [c69]Chao Lou, Wenjuan Han, Kewei Tu:
Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing. AACL/IJCNLP (Findings) 2022: 11-21 - [c68]Zhaohui Yan, Zixia Jia, Kewei Tu:
An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction. AACL/IJCNLP (2) 2022: 437-443 - [c67]Liwen Zhang, Zixia Jia, Wenjuan Han, Zilong Zheng, Kewei Tu:
SHARP: Search-Based Adversarial Attack for Structured Prediction. NAACL-HLT (Findings) 2022: 950-961 - [c66]Hao Zhou, Gongshen Liu, Kewei Tu:
Improving Constituent Representation with Hypertree Neural Networks. NAACL-HLT 2022: 1682-1692 - [c65]Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Kewei Tu:
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. NAACL-HLT 2022: 3176-3189 - [c64]Songlin Yang, Wei Liu, Kewei Tu:
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs. NAACL-HLT 2022: 4797-4809 - [c63]Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang:
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. SemEval@NAACL 2022: 1457-1468 - [i45]Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang:
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. CoRR abs/2203.00545 (2022) - [i44]Chao Lou, Songlin Yang, Kewei Tu:
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing. CoRR abs/2203.04665 (2022) - [i43]Songlin Yang, Kewei Tu:
Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference. CoRR abs/2204.03619 (2022) - [i42]Songlin Yang, Wei Liu, Kewei Tu:
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs. CoRR abs/2205.00484 (2022) - [i41]Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu:
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. CoRR abs/2212.01581 (2022) - [i40]Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. CoRR abs/2212.01612 (2022) - [i39]Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu:
Joint Information Extraction with Cross-Task and Cross-Instance High-Order Modeling. CoRR abs/2212.08929 (2022) - [i38]Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu:
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. CoRR abs/2212.09125 (2022) - 2021
- [c62]Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor. ACL/IJCNLP (1) 2021: 550-564 - [c61]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. ACL/IJCNLP (1) 2021: 1800-1812 - [c60]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Automated Concatenation of Embeddings for Structured Prediction. ACL/IJCNLP (1) 2021: 2643-2660 - [c59]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision. ACL/IJCNLP (1) 2021: 2661-2674 - [c58]Songlin Yang, Yanpeng Zhao, Kewei Tu:
Neural Bi-Lexicalized PCFG Induction. ACL/IJCNLP (1) 2021: 2688-2699 - [c57]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Risk Minimization for Zero-shot Sequence Labeling. ACL/IJCNLP (1) 2021: 4909-4920 - [c56]Yixian Liu, Liwen Zhang, Xinyu Zhang, Yong Jiang, Yue Zhang, Kewei Tu:
Generalized Supervised Attention for Text Generation. ACL/IJCNLP (Findings) 2021: 4991-5003 - [c55]Liwen Zhang, Ge Wang, Wenjuan Han, Kewei Tu:
Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing. ACL/IJCNLP (1) 2021: 5782-5794 - [c54]Kewei Tu, Yong Jiang, Wenjuan Han, Yanpeng Zhao:
Unsupervised Natural Language Parsing (Introductory Tutorial). EACL (Tutorial Abstracts) 2021: 1-5 - [c53]Chengyue Jiang, Zijian Jin, Kewei Tu:
Neuralizing Regular Expressions for Slot Filling. EMNLP (1) 2021: 9481-9498 - [c52]Songlin Yang, Yanpeng Zhao, Kewei Tu:
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols. NAACL-HLT 2021: 1487-1498 - [i37]Yixian Liu, Liwen Zhang, Wenjuan Han, Yue Zhang, Kewei Tu:
Constrained Text Generation with Global Guidance - Case Study on CommonGen. CoRR abs/2103.07170 (2021) - [i36]Songlin Yang, Yanpeng Zhao, Kewei Tu:
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols. CoRR abs/2104.13727 (2021) - [i35]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. CoRR abs/2105.03654 (2021) - [i34]Songlin Yang, Yanpeng Zhao, Kewei Tu:
Neural Bi-Lexicalized PCFG Induction. CoRR abs/2105.15021 (2021) - [i33]Xinyu Wang, Zixia Jia, Yong Jiang, Kewei Tu:
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings. CoRR abs/2107.02416 (2021) - [i32]Songlin Yang, Kewei Tu:
Headed Span-Based Projective Dependency Parsing. CoRR abs/2108.04750 (2021) - [i31]Songlin Yang, Kewei Tu:
Combining (second-order) graph-based and headed span-based projective dependency parsing. CoRR abs/2108.05838 (2021) - [i30]Songlin Yang, Kewei Tu:
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks. CoRR abs/2110.05419 (2021) - [i29]Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. CoRR abs/2112.06482 (2021) - 2020
- [j7]Ge Wang, Ziyuan Hu, Zechuan Hu, Kewei Tu:
An Empirical Study of Encoders and Decoders in Graph-Based Dependency Parsing. IEEE Access 8: 35770-35776 (2020) - [c51]Jun Li, Yifan Cao, Jiong Cai, Yong Jiang, Kewei Tu:
An Empirical Comparison of Unsupervised Constituency Parsing Methods. ACL 2020: 3278-3283 - [c50]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu:
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling. ACL 2020: 3317-3330 - [c49]Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu:
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. ACL 2020: 3619-3629 - [c48]Zixia Jia, Youmi Ma, Jiong Cai, Kewei Tu:
Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders. ACL 2020: 6795-6805 - [c47]Ge Wang, Kewei Tu:
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding. COLING 2020: 2485-2496 - [c46]Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu:
A Survey of Unsupervised Dependency Parsing. COLING 2020: 2522-2533 - [c45]Ruyue Hong, Jiong Cai, Kewei Tu:
Deep Inside-outside Recursive Autoencoder with All-span Objective. COLING 2020: 3610-3615 - [c44]Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu:
Second-Order Unsupervised Neural Dependency Parsing. COLING 2020: 3911-3924 - [c43]Zhao Li, Kewei Tu:
Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders. EMNLP (Findings) 2020: 2127-2133 - [c42]Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu:
Adversarial Attack and Defense of Structured Prediction Models. EMNLP (1) 2020: 2327-2338 - [c41]Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu:
Learning Numeral Embedding. EMNLP (Findings) 2020: 2586-2599 - [c40]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
An Investigation of Potential Function Designs for Neural CRF. EMNLP (Findings) 2020: 2600-2609 - [c39]Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, Kewei Tu:
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. EMNLP (1) 2020: 3193-3207 - [c38]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
More Embeddings, Better Sequence Labelers? EMNLP (Findings) 2020: 3992-4006 - [c37]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network. EMNLP (1) 2020: 6019-6026 - [c36]Xinyu Wang, Kewei Tu:
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training. AACL/IJCNLP 2020: 93-99 - [c35]Xinyu Wang, Yong Jiang, Kewei Tu:
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data. IWPT 2020 2020: 215-220 - [i28]Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu:
Learning Numeral Embeddings. CoRR abs/2001.00003 (2020) - [i27]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu:
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling. CoRR abs/2004.03846 (2020) - [i26]Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu:
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing. CoRR abs/2004.03849 (2020) - [i25]Xinyu Wang, Yong Jiang, Kewei Tu:
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data. CoRR abs/2006.01414 (2020) - [i24]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Fast and Accurate Sequence Labeling with Approximate Inference Network. CoRR abs/2009.08229 (2020) - [i23]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
More Embeddings, Better Sequence Labelers? CoRR abs/2009.08330 (2020) - [i22]Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu:
A Survey of Unsupervised Dependency Parsing. CoRR abs/2010.01535 (2020) - [i21]Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu:
Adversarial Attack and Defense of Structured Prediction Models. CoRR abs/2010.01610 (2020) - [i20]Xinyu Wang, Kewei Tu:
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training. CoRR abs/2010.05003 (2020) - [i19]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Automated Concatenation of Embeddings for Structured Prediction. CoRR abs/2010.05006 (2020) - [i18]Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Structural Knowledge Distillation. CoRR abs/2010.05010 (2020) - [i17]Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu:
Second-Order Unsupervised Neural Dependency Parsing. CoRR abs/2010.14720 (2020) - [i16]Yang Zhou, Yong Jiang, Zechuan Hu, Kewei Tu:
Neural Latent Dependency Model for Sequence Labeling. CoRR abs/2011.05009 (2020) - [i15]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
An Investigation of Potential Function Designs for Neural CRF. CoRR abs/2011.05604 (2020)
2010 – 2019
- 2019
- [j6]Yong Jiang, Yang Zhou, Kewei Tu:
Projective Latent Dependency Forest Models. IEEE Access 7: 12328-12338 (2019) - [j5]Wenjuan Han, Ge Wang, Kewei Tu:
Latent Variable Autoencoder. IEEE Access 7: 48514-48523 (2019) - [j4]Wenjuan Han, Yong Jiang, Kewei Tu:
Lexicalized Neural Unsupervised Dependency Parsing. Neurocomputing 349: 105-115 (2019) - [j3]Yong Jiang, Yang Zhou, Kewei Tu:
Learning and evaluation of latent dependency forest models. Neural Comput. Appl. 31(10): 6795-6805 (2019) - [c34]Yunzhe Yuan, Yong Jiang, Kewei Tu:
Bidirectional Transition-Based Dependency Parsing. AAAI 2019: 7434-7441 - [c33]Xinyu Wang, Jingxian Huang, Kewei Tu:
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks. ACL (1) 2019: 4609-4618 - [c32]Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. ACL (1) 2019: 4642-4651 - [c31]Wenjuan Han, Yong Jiang, Kewei Tu:
Enhancing Unsupervised Generative Dependency Parser with Contextual Information. ACL (1) 2019: 5315-5325 - [c30]Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu:
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing. CoNLL Shared Task 2019: 55-65 - [c29]Yong Jiang, Wenjuan Han, Kewei Tu:
A Regularization-based Framework for Bilingual Grammar Induction. EMNLP/IJCNLP (1) 2019: 1423-1428 - [c28]Wenjuan Han, Ge Wang, Yong Jiang, Kewei Tu:
Multilingual Grammar Induction with Continuous Language Identification. EMNLP/IJCNLP (1) 2019: 5727-5732 - [i14]Xinyu Wang, Jingxian Huang, Kewei Tu:
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks. CoRR abs/1906.07880 (2019) - [i13]Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. CoRR abs/1907.00218 (2019) - 2018
- [c27]Jun Mei, Yong Jiang, Kewei Tu:
Maximum A Posteriori Inference in Sum-Product Networks. AAAI 2018: 1923-1930 - [c26]Yanpeng Zhao, Liwen Zhang, Kewei Tu:
Gaussian Mixture Latent Vector Grammars. ACL (1) 2018: 1181-1189 - [c25]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering Based Framework for Information Extraction. ISWC (1) 2018: 198-216 - [i12]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering based Framework for Information Extraction. CoRR abs/1804.03396 (2018) - [i11]Yanpeng Zhao, Liwen Zhang, Kewei Tu:
Gaussian Mixture Latent Vector Grammars. CoRR abs/1805.04688 (2018) - [i10]Yanpeng Zhao, Wei Bi, Deng Cai, Xiaojiang Liu, Kewei Tu, Shuming Shi:
Language Style Transfer from Sentences with Arbitrary Unknown Styles. CoRR abs/1808.04071 (2018) - 2017
- [j2]Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian:
Learning Bayesian network structures under incremental construction curricula. Neurocomputing 258: 30-40 (2017) - [c24]Shanbo Chu, Yong Jiang, Kewei Tu:
Latent Dependency Forest Models. AAAI 2017: 3733-3739 - [c23]Jiong Cai, Yong Jiang, Kewei Tu:
CRF Autoencoder for Unsupervised Dependency Parsing. EMNLP 2017: 1638-1643 - [c22]Wenjuan Han, Yong Jiang, Kewei Tu:
Dependency Grammar Induction with Neural Lexicalization and Big Training Data. EMNLP 2017: 1683-1688 - [c21]Yong Jiang, Wenjuan Han, Kewei Tu:
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition. EMNLP 2017: 1689-1694 - [c20]Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser:
Semi-supervised Structured Prediction with Neural CRF Autoencoder. EMNLP 2017: 1701-1711 - [c19]Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma:
Structured Attentions for Visual Question Answering. ICCV 2017: 1300-1309 - [c18]Yiding Tian, Lin Qiu, Kewei Tu, Yong Yu:
Expected Likelihood: Not a Good Metric for Gaussian Embeddings. TAAI 2017: 46-49 - [i9]Yong Jiang, Wenjuan Han, Kewei Tu:
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition. CoRR abs/1708.00790 (2017) - [i8]Wenjuan Han, Yong Jiang, Kewei Tu:
Dependency Grammar Induction with Neural Lexicalization and Big Training Data. CoRR abs/1708.00801 (2017) - [i7]Jiong Cai, Yong Jiang, Kewei Tu:
CRF Autoencoder for Unsupervised Dependency Parsing. CoRR abs/1708.01018 (2017) - [i6]Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma:
Structured Attentions for Visual Question Answering. CoRR abs/1708.02071 (2017) - [i5]Jun Mei, Yong Jiang, Kewei Tu:
Maximum A Posteriori Inference in Sum-Product Networks. CoRR abs/1708.04846 (2017) - 2016
- [c17]Lin Qiu, Kewei Tu, Yong Yu:
Context-Dependent Sense Embedding. EMNLP 2016: 183-191 - [c16]Yong Jiang, Wenjuan Han, Kewei Tu:
Unsupervised Neural Dependency Parsing. EMNLP 2016: 763-771 - [c15]Kewei Tu:
Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity. EMNLP 2016: 1986-1991 - [c14]Yanpeng Zhao, Shanbo Chu, Yang Zhou, Kewei Tu:
Sequence Prediction Using Neural Network Classiers. ICGI 2016: 164-169 - [c13]Kewei Tu:
Stochastic and-or Grammars: A Unified Framework and Logic Perspective. IJCAI 2016: 2654-2660 - [i4]Shanbo Chu, Yong Jiang, Kewei Tu:
Latent Dependency Forest Models. CoRR abs/1609.02236 (2016) - 2015
- [c12]Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian:
Curriculum Learning of Bayesian Network Structures. ACML 2015: 269-284 - [i3]Kewei Tu:
Stochastic And-Or Grammars: A Unified Framework and Logic Perspective. CoRR abs/1506.00858 (2015) - 2014
- [j1]Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, Song Chun Zhu:
Joint Video and Text Parsing for Understanding Events and Answering Queries. IEEE Multim. 21(2): 42-70 (2014) - [c11]Maria Pavlovskaia, Kewei Tu, Song-Chun Zhu:
Mapping the Energy Landscape of Non-convex Optimization Problems. EMMCVPR 2014: 421-435 - [i2]Maria Pavlovskaia, Kewei Tu, Song-Chun Zhu:
Mapping Energy Landscapes of Non-Convex Learning Problems. CoRR abs/1410.0576 (2014) - 2013
- [c10]Kewei Tu, Maria Pavlovskaia, Song Chun Zhu:
Unsupervised Structure Learning of Stochastic And-Or Grammars. NIPS 2013: 1322-1330 - [i1]Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, Song Chun Zhu:
Joint Video and Text Parsing for Understanding Events and Answering Queries. CoRR abs/1308.6628 (2013) - 2012
- [c9]Kewei Tu, Vasant G. Honavar:
Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars. EMNLP-CoNLL 2012: 1324-1334 - 2011
- [c8]Kewei Tu, Vasant G. Honavar:
On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars. IJCAI 2011: 1523-1528 - [c7]Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant G. Honavar:
Exemplar-based Robust Coherent Biclustering. SDM 2011: 884-895
2000 – 2009
- 2008
- [c6]Kewei Tu, Vasant G. Honavar:
Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering. ICGI 2008: 224-237 - 2005
- [c5]Kewei Tu, Yong Yu:
CMC: Combining Multiple Schema-Matching Strategies Based on Credibility Prediction. DASFAA 2005: 888-893 - [c4]Kewei Tu, Miao Xiong, Lei Zhang, Haiping Zhu, Jie Zhang, Yong Yu:
Towards Imaging Large-Scale Ontologies for Quick Understanding and Analysis. ISWC 2005: 702-715 - [c3]Jing Lu, Yong Yu, Kewei Tu, Chenxi Lin, Lei Zhang:
An Approach to RDF(S) Query, Manipulation and Inference on Databases. WAIM 2005: 172-183 - 2004
- [c2]Lei Zhang, Yong Yu, Jing Lu, Chenxi Lin, Kewei Tu, MingChuan Guo, Zhuo Zhang, Guo Tong Xie, Zhong Su, Yue Pan:
ORIENT: Integrate Ontology Engineering into Industry Tooling Environment. ISWC 2004: 823-838 - 2003
- [c1]Kewei Tu, Jing Lu, Haiping Zhu, Guowei Liu, Yong Yu:
A Semantic Search Approach by Graph Matching with Negations and Inferences. ICCS 2003: 378-391
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 21:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
