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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 - [i68]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) - [i67]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) - [i66]Zhuo Chen, Chengyue Jiang, Kewei Tu:
Using Interpretation Methods for Model Enhancement. CoRR abs/2404.02068 (2024) - [i65]Wenyang Hui, Chengyue Jiang, Yan Wang, Kewei Tu:
RoT: Enhancing Large Language Models with Reflection on Search Trees. CoRR abs/2404.05449 (2024) - [i64]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) - [i63]Haoyi Wu, Kewei Tu:
Layer-Condensed KV Cache for Efficient Inference of Large Language Models. CoRR abs/2405.10637 (2024) - [i62]Qingyang Zhu, Xiang Hu, Pengyu Ji, Wei Wu, Kewei Tu:
Unsupervised Morphological Tree Tokenizer. CoRR abs/2406.15245 (2024) - [i61]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) - [i60]Yida Zhao, Chao Lou, Kewei Tu:
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models. CoRR abs/2407.17406 (2024) - [i59]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) - 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
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