Kewei Tu

197 papers A* 30A 2B 5C 1Misc 3Journal 85Unranked 71
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Multimodal Planning Agent for Visual Question-Answering.
CoRR
Zhuo Chen, Xinyu Geng, Xinyu Wang, Yong Jiang, Zhen Zhang, Pengjun Xie, Kewei Tu
2026 — conf
MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents.
EACL (Findings)
Shuyi Zhang, Zhenbin Chen, Shuting Li, Kewei Tu, Li Jing, Zixia Jia, Zilong Zheng
2025 — conf
A Systematic Study of Compositional Syntactic Transformer Language Models.
ACL (1)
Yida Zhao, Hao Xve, Xiang Hu, Kewei Tu
2025 J jnl
A Systematic Study of Compositional Syntactic Transformer Language Models.
CoRR
Yida Zhao, Hao Xve, Xiang Hu, Kewei Tu
2025 — conf
A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference.
NAACL (Short Papers)
You Wu, Haoyi Wu, Kewei Tu
2025 A* conf
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference.
EMNLP
Zhuo Chen, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinyu Geng, Pengjun Xie, Fei Huang, Kewei Tu
2025 J jnl
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference.
CoRR
Zhuo Chen, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinyu Geng, Pengjun Xie, Fei Huang, Kewei Tu
2025 A* conf
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling.
ICML
Xiang Hu, Zhihao Teng, Jun Zhao, Wei Wu, Kewei Tu
2025 A* conf
EvolveSearch: An Iterative Self-Evolving Search Agent.
EMNLP
Dingchu Zhang, Yida Zhao, Jialong Wu, Liwen Zhang, Baixuan Li, Wenbiao Yin, Yong Jiang, Yu-Feng Li, Kewei Tu, Pengjun Xie, Fei Huang
2025 J jnl
EvolveSearch: An Iterative Self-Evolving Search Agent.
CoRR
Dingchu Zhang, Yida Zhao, Jialong Wu, Baixuan Li, Wenbiao Yin, Liwen Zhang, Yong Jiang, Yufeng Li, Kewei Tu, Pengjun Xie, Fei Huang
2025 J jnl
Flash Multi-Head Feed-Forward Network.
CoRR
Minshen Zhang, Xiang Hu, Jianguo Li, Wei Wu, Kewei Tu
2025 — conf
Look Both Ways and No Sink: Converting LLMs into Text Encoders without Training.
ACL (1)
Ziyong Lin, Haoyi Wu, Shu Wang, Kewei Tu, Zilong Zheng, Zixia Jia
2025 A* conf
Parallel Continuous Chain-of-Thought with Jacobi Iteration.
EMNLP
Haoyi Wu, Zhihao Teng, Kewei Tu
2025 J jnl
Parallel Continuous Chain-of-Thought with Jacobi Iteration.
CoRR
Haoyi Wu, Zhihao Teng, Kewei Tu
2025 J jnl
Random Long-Context Access for Mamba via Hardware-aligned Hierarchical Sparse Attention.
CoRR
Xiang Hu, Jiaqi Leng, Jun Zhao, Kewei Tu, Wei Wu
2025 J jnl
Repurposing Synthetic Data for Fine-grained Search Agent Supervision.
CoRR
Yida Zhao, Kuan Li, Xixi Wu, Liwen Zhang, Dingchu Zhang, Baixuan Li, Maojia Song, Zhuo Chen, Chenxi Wang, Xinyu Wang, Kewei Tu, Pengjun Xie, Jingren Zhou, Yong Jiang
2025 — conf
Tree-Structured Non-Autoregressive Decoding for Sequence-to-Sequence Text Generation.
EMNLP (Findings)
Pengyu Ji, Yufei Liu, Xiang Hu, Kewei Tu
2025 — conf
Unsupervised Morphological Tree Tokenizer.
ACL (Findings)
Qingyang Zhu, Xiang Hu, Pengyu Ji, Wei Wu, Kewei Tu
2024 J jnl
A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference.
CoRR
You Wu, Haoyi Wu, Kewei Tu
2024 A* conf
Augmenting Transformers with Recursively Composed Multi-grained Representations.
ICLR
Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu
2024 — conf
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models.
ACL (1)
Yida Zhao, Chao Lou, Kewei Tu
2024 J jnl
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models.
CoRR
Yida Zhao, Chao Lou, Kewei Tu
2024 J jnl
Efficient Long-range Language Modeling with Self-supervised Causal Retrieval.
CoRR
Xiang Hu, Zhihao Teng, Wei Wu, Kewei Tu
2024 A* conf
Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields.
AAAI
Chaoyi Ai, Kewei Tu
2024 — conf
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale.
ACL (1)
Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, Kewei Tu
2024 J jnl
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale.
CoRR
Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, Kewei Tu
2024 — conf
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts.
ACL (Findings)
Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu
2024 J jnl
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts.
CoRR
Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu
2024 — conf
Layer-Condensed KV Cache for Efficient Inference of Large Language Models.
ACL (1)
Haoyi Wu, Kewei Tu
2024 J jnl
Layer-Condensed KV Cache for Efficient Inference of Large Language Models.
CoRR
Haoyi Wu, Kewei Tu
2024 J jnl
Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation.
CoRR
Chaoyi Ai, Yong Jiang, Shen Huang, Pengjun Xie, Kewei Tu
2024 — conf
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL.
ICIC (LNAI 1)
Ning Cheng, Zhaohui Yan, Ziming Wang, Zhijie Li, Jiaming Yu, Zilong Zheng, Kewei Tu, Jinan Xu, Wenjuan Han
2024 J jnl
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL.
CoRR
Ning Cheng, Zhaohui Yan, Ziming Wang, Zhijie Li, Jiaming Yu, Zilong Zheng, Kewei Tu, Jinan Xu, Wenjuan Han
2024 J jnl
RoT: Enhancing Large Language Models with Reflection on Search Trees.
CoRR
Wenyang Hui, Chengyue Jiang, Yan Wang, Kewei Tu
2024 A* conf
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding.
AAAI
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
2024 J jnl
Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers.
CoRR
Chao Lou, Zixia Jia, Zilong Zheng, Kewei Tu
2024 J jnl
Unsupervised Morphological Tree Tokenizer.
CoRR
Qingyang Zhu, Xiang Hu, Pengyu Ji, Wei Wu, Kewei Tu
2024 J jnl
Using Interpretation Methods for Model Enhancement.
CoRR
Zhuo Chen, Chengyue Jiang, Kewei Tu
2023 A* conf
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification.
ICLR
Xiang Hu, Xinyu Kong, Kewei Tu
2023 J jnl
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification.
CoRR
Xiang Hu, Xinyu Kong, Kewei Tu
2023 A* conf
AMR Parsing with Causal Hierarchical Attention and Pointers.
EMNLP
Chao Lou, Kewei Tu
2023 J jnl
AMR Parsing with Causal Hierarchical Attention and Pointers.
CoRR
Chao Lou, Kewei Tu
2023 J jnl
Augmenting transformers with recursively composed multi-grained representations.
CoRR
Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu
2023 A conf
COMBO: A Complete Benchmark for Open KG Canonicalization.
EACL
Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu
2023 J jnl
COMBO: A Complete Benchmark for Open KG Canonicalization.
CoRR
Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu
2023 — conf
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset.
EMNLP (Findings)
Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, Yi Zhou
2023 J jnl
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset.
CoRR
Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, Yi Zhou
2023 — conf
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.
SemEval@ACL
Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang
2023 J jnl
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.
CoRR
Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, Yong Jiang
2023 — conf
Do PLMs Know and Understand Ontological Knowledge?
ACL (1)
Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu
2023 J jnl
Do PLMs Know and Understand Ontological Knowledge?
CoRR
Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu
2023 — conf
Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection.
ACL (1)
Songlin Yang, Kewei Tu
2023 — conf
Graph Propagation based Data Augmentation for Named Entity Recognition.
ACL (2)
Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu
2023 — conf
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints.
ACL (2)
Chao Lou, Kewei Tu
2023 J jnl
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints.
CoRR
Chao Lou, Kewei Tu
2023 — conf
Improving Span Representation by Efficient Span-Level Attention.
EMNLP (Findings)
Pengyu Ji, Songlin Yang, Kewei Tu
2023 J jnl
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model.
CoRR
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
2023 A* conf
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks.
EMNLP
Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu
2023 J jnl
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks.
CoRR
Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu
2023 — conf
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field.
ACL (1)
Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu
2023 — conf
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation.
ACL (Findings)
Haoyi Wu, Kewei Tu
2023 J jnl
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation.
CoRR
Haoyi Wu, Kewei Tu
2023 — conf
Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing.
ACL (1)
Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu
2023 J jnl
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding.
CoRR
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
2023 — conf
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions.
EMNLP (Findings)
Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu
2023 J jnl
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions.
CoRR
Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu
2023 — conf
Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role.
ACL (Findings)
Wei Liu, Songlin Yang, Kewei Tu
2023 A* conf
Using Interpretation Methods for Model Enhancement.
EMNLP
Zhuo Chen, Chengyue Jiang, Kewei Tu
2022 — conf
An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction.
AACL/IJCNLP (2)
Zhaohui Yan, Zixia Jia, Kewei Tu
2022 — conf
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks.
ACL (1)
Songlin Yang, Kewei Tu
2022 — conf
Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing.
ACL (Findings)
Songlin Yang, Kewei Tu
2022 — conf
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition.
SemEval@NAACL
Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang
2022 J jnl
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition.
CoRR
Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang
2022 — conf
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs.
NAACL-HLT
Songlin Yang, Wei Liu, Kewei Tu
2022 J jnl
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs.
CoRR
Songlin Yang, Wei Liu, Kewei Tu
2022 — conf
Headed-Span-Based Projective Dependency Parsing.
ACL (1)
Songlin Yang, Kewei Tu
2022 — conf
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition.
NAACL-HLT
Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Kewei Tu
2022 — conf
Improving Constituent Representation with Hypertree Neural Networks.
NAACL-HLT
Hao Zhou, Gongshen Liu, Kewei Tu
2022 J jnl
Joint Information Extraction with Cross-Task and Cross-Instance High-Order Modeling.
CoRR
Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu
2022 J jnl
Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference.
CoRR
Songlin Yang, Kewei Tu
2022 A* conf
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field.
EMNLP
Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu
2022 J jnl
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field.
CoRR
Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu
2022 — conf
Named Entity and Relation Extraction with Multi-Modal Retrieval.
EMNLP (Findings)
Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu
2022 J jnl
Named Entity and Relation Extraction with Multi-Modal Retrieval.
CoRR
Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu
2022 — conf
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing.
ACL (1)
Chao Lou, Songlin Yang, Kewei Tu
2022 J jnl
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing.
CoRR
Chao Lou, Songlin Yang, Kewei Tu
2022 J jnl
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing.
CoRR
Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu
2022 — conf
SHARP: Search-Based Adversarial Attack for Structured Prediction.
NAACL-HLT (Findings)
Liwen Zhang, Zixia Jia, Wenjuan Han, Zilong Zheng, Kewei Tu
2022 — conf
Semantic Dependency Parsing with Edge GNNs.
EMNLP (Findings)
Songlin Yang, Kewei Tu
2022 — conf
Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing.
AACL/IJCNLP (Findings)
Chao Lou, Wenjuan Han, Kewei Tu
2022 A* conf
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference.
AAAI
Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu
2021 — conf
Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing.
ACL/IJCNLP (1)
Liwen Zhang, Ge Wang, Wenjuan Han, Kewei Tu
2021 — conf
Automated Concatenation of Embeddings for Structured Prediction.
ACL/IJCNLP (1)
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2021 J jnl
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks.
CoRR
Songlin Yang, Kewei Tu
2021 J jnl
Combining (second-order) graph-based and headed span-based projective dependency parsing.
CoRR
Songlin Yang, Kewei Tu
2021 J jnl
Constrained Text Generation with Global Guidance - Case Study on CommonGen.
CoRR
Yixian Liu, Liwen Zhang, Wenjuan Han, Yue Zhang, Kewei Tu
2021 J jnl
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings.
CoRR
Xinyu Wang, Zixia Jia, Yong Jiang, Kewei Tu
2021 — conf
Generalized Supervised Attention for Text Generation.
ACL/IJCNLP (Findings)
Yixian Liu, Liwen Zhang, Xinyu Zhang, Yong Jiang, Yue Zhang, Kewei Tu
2021 J jnl
Headed Span-Based Projective Dependency Parsing.
CoRR
Songlin Yang, Kewei Tu
2021 J jnl
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition.
CoRR
Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2021 — conf
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning.
ACL/IJCNLP (1)
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2021 J jnl
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning.
CoRR
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2021 — conf
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision.
ACL/IJCNLP (1)
Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2021 — conf
Neural Bi-Lexicalized PCFG Induction.
ACL/IJCNLP (1)
Songlin Yang, Yanpeng Zhao, Kewei Tu
2021 J jnl
Neural Bi-Lexicalized PCFG Induction.
CoRR
Songlin Yang, Yanpeng Zhao, Kewei Tu
2021 — conf
Neuralizing Regular Expressions for Slot Filling.
EMNLP (1)
Chengyue Jiang, Zijian Jin, Kewei Tu
2021 — conf
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols.
NAACL-HLT
Songlin Yang, Yanpeng Zhao, Kewei Tu
2021 J jnl
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols.
CoRR
Songlin Yang, Yanpeng Zhao, Kewei Tu
2021 — conf
Risk Minimization for Zero-shot Sequence Labeling.
ACL/IJCNLP (1)
Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2021 — conf
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor.
ACL/IJCNLP (1)
Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2021 — conf
Unsupervised Natural Language Parsing (Introductory Tutorial).
EACL (Tutorial Abstracts)
Kewei Tu, Yong Jiang, Wenjuan Han, Yanpeng Zhao
2020 B conf
A Survey of Unsupervised Dependency Parsing.
COLING
Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu
2020 J jnl
A Survey of Unsupervised Dependency Parsing.
CoRR
Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu
2020 — conf
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network.
EMNLP (1)
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2020 — conf
Adversarial Attack and Defense of Structured Prediction Models.
EMNLP (1)
Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu
2020 J jnl
Adversarial Attack and Defense of Structured Prediction Models.
CoRR
Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu
2020 A* conf
An Empirical Comparison of Unsupervised Constituency Parsing Methods.
ACL
Jun Li, Yifan Cao, Jiong Cai, Yong Jiang, Kewei Tu
2020 J jnl
An Empirical Study of Encoders and Decoders in Graph-Based Dependency Parsing.
IEEE Access
Ge Wang, Ziyuan Hu, Zechuan Hu, Kewei Tu
2020 — conf
An Investigation of Potential Function Designs for Neural CRF.
EMNLP (Findings)
Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2020 J jnl
An Investigation of Potential Function Designs for Neural CRF.
CoRR
Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2020 J jnl
Automated Concatenation of Embeddings for Structured Prediction.
CoRR
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2020 — conf
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks.
EMNLP (1)
Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, Kewei Tu
2020 B conf
Deep Inside-outside Recursive Autoencoder with All-span Objective.
COLING
Ruyue Hong, Jiong Cai, Kewei Tu
2020 — conf
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data.
IWPT 2020
Xinyu Wang, Yong Jiang, Kewei Tu
2020 J jnl
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data.
CoRR
Xinyu Wang, Yong Jiang, Kewei Tu
2020 J jnl
Fast and Accurate Sequence Labeling with Approximate Inference Network.
CoRR
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2020 — conf
Learning Numeral Embedding.
EMNLP (Findings)
Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu
2020 J jnl
Learning Numeral Embeddings.
CoRR
Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu
2020 — conf
More Embeddings, Better Sequence Labelers?
EMNLP (Findings)
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2020 J jnl
More Embeddings, Better Sequence Labelers?
CoRR
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2020 J jnl
Neural Latent Dependency Model for Sequence Labeling.
CoRR
Yang Zhou, Yong Jiang, Zechuan Hu, Kewei Tu
2020 — conf
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training.
AACL/IJCNLP
Xinyu Wang, Kewei Tu
2020 J jnl
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training.
CoRR
Xinyu Wang, Kewei Tu
2020 B conf
Second-Order Unsupervised Neural Dependency Parsing.
COLING
Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu
2020 J jnl
Second-Order Unsupervised Neural Dependency Parsing.
CoRR
Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu
2020 B conf
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding.
COLING
Ge Wang, Kewei Tu
2020 A* conf
Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders.
ACL
Zixia Jia, Youmi Ma, Jiong Cai, Kewei Tu
2020 J jnl
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing.
CoRR
Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu
2020 J jnl
Structural Knowledge Distillation.
CoRR
Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
2020 A* conf
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling.
ACL
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu
2020 J jnl
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling.
CoRR
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu
2020 A* conf
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation.
ACL
Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu
2020 — conf
Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders.
EMNLP (Findings)
Zhao Li, Kewei Tu
2019 — conf
A Regularization-based Framework for Bilingual Grammar Induction.
EMNLP/IJCNLP (1)
Yong Jiang, Wenjuan Han, Kewei Tu
2019 A* conf
Bidirectional Transition-Based Dependency Parsing.
AAAI
Yunzhe Yuan, Yong Jiang, Kewei Tu
2019 — conf
Enhancing Unsupervised Generative Dependency Parser with Contextual Information.
ACL (1)
Wenjuan Han, Yong Jiang, Kewei Tu
2019 J jnl
Latent Variable Autoencoder.
IEEE Access
Wenjuan Han, Ge Wang, Kewei Tu
2019 — conf
Latent Variable Sentiment Grammar.
ACL (1)
Liwen Zhang, Kewei Tu, Yue Zhang
2019 J jnl
Latent Variable Sentiment Grammar.
CoRR
Liwen Zhang, Kewei Tu, Yue Zhang
2019 J jnl
Learning and evaluation of latent dependency forest models.
Neural Comput. Appl.
Yong Jiang, Yang Zhou, Kewei Tu
2019 J jnl
Lexicalized Neural Unsupervised Dependency Parsing.
Neurocomputing
Wenjuan Han, Yong Jiang, Kewei Tu
2019 — conf
Multilingual Grammar Induction with Continuous Language Identification.
EMNLP/IJCNLP (1)
Wenjuan Han, Ge Wang, Yong Jiang, Kewei Tu
2019 J jnl
Projective Latent Dependency Forest Models.
IEEE Access
Yong Jiang, Yang Zhou, Kewei Tu
2019 — conf
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks.
ACL (1)
Xinyu Wang, Jingxian Huang, Kewei Tu
2019 J jnl
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks.
CoRR
Xinyu Wang, Jingxian Huang, Kewei Tu
2019 — conf
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing.
CoNLL Shared Task
Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu
2018 — conf
Gaussian Mixture Latent Vector Grammars.
ACL (1)
Yanpeng Zhao, Liwen Zhang, Kewei Tu
2018 J jnl
Gaussian Mixture Latent Vector Grammars.
CoRR
Yanpeng Zhao, Liwen Zhang, Kewei Tu
2018 J jnl
Language Style Transfer from Sentences with Arbitrary Unknown Styles.
CoRR
Yanpeng Zhao, Wei Bi, Deng Cai, Xiaojiang Liu, Kewei Tu, Shuming Shi
2018 A* conf
Maximum A Posteriori Inference in Sum-Product Networks.
AAAI
Jun Mei, Yong Jiang, Kewei Tu
2018 — conf
QA4IE: A Question Answering Based Framework for Information Extraction.
ISWC (1)
Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu
2018 J jnl
QA4IE: A Question Answering based Framework for Information Extraction.
CoRR
Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu
2017 A* conf
CRF Autoencoder for Unsupervised Dependency Parsing.
EMNLP
Jiong Cai, Yong Jiang, Kewei Tu
2017 J jnl
CRF Autoencoder for Unsupervised Dependency Parsing.
CoRR
Jiong Cai, Yong Jiang, Kewei Tu
2017 A* conf
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition.
EMNLP
Yong Jiang, Wenjuan Han, Kewei Tu
2017 J jnl
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition.
CoRR
Yong Jiang, Wenjuan Han, Kewei Tu
2017 A* conf
Dependency Grammar Induction with Neural Lexicalization and Big Training Data.
EMNLP
Wenjuan Han, Yong Jiang, Kewei Tu
2017 J jnl
Dependency Grammar Induction with Neural Lexicalization and Big Training Data.
CoRR
Wenjuan Han, Yong Jiang, Kewei Tu
2017 — conf
Expected Likelihood: Not a Good Metric for Gaussian Embeddings.
TAAI
Yiding Tian, Lin Qiu, Kewei Tu, Yong Yu
2017 A* conf
Latent Dependency Forest Models.
AAAI
Shanbo Chu, Yong Jiang, Kewei Tu
2017 J jnl
Learning Bayesian network structures under incremental construction curricula.
Neurocomputing
Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian
2017 J jnl
Maximum A Posteriori Inference in Sum-Product Networks.
CoRR
Jun Mei, Yong Jiang, Kewei Tu
2017 A* conf
Semi-supervised Structured Prediction with Neural CRF Autoencoder.
EMNLP
Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser
2017 A* conf
Structured Attentions for Visual Question Answering.
ICCV
Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma
2017 J jnl
Structured Attentions for Visual Question Answering.
CoRR
Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma
2016 A* conf
Context-Dependent Sense Embedding.
EMNLP
Lin Qiu, Kewei Tu, Yong Yu
2016 J jnl
Latent Dependency Forest Models.
CoRR
Shanbo Chu, Yong Jiang, Kewei Tu
2016 A* conf
Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity.
EMNLP
Kewei Tu
2016 — conf
Sequence Prediction Using Neural Network Classiers.
ICGI
Yanpeng Zhao, Shanbo Chu, Yang Zhou, Kewei Tu
2016 A* conf
Stochastic and-or Grammars: A Unified Framework and Logic Perspective.
IJCAI
Kewei Tu
2016 A* conf
Unsupervised Neural Dependency Parsing.
EMNLP
Yong Jiang, Wenjuan Han, Kewei Tu
2015 C conf
Curriculum Learning of Bayesian Network Structures.
ACML
Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian
2015 J jnl
Stochastic And-Or Grammars: A Unified Framework and Logic Perspective.
CoRR
Kewei Tu
2014 J jnl
Joint Video and Text Parsing for Understanding Events and Answering Queries.
IEEE Multim.
Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, Song Chun Zhu
2014 J jnl
Mapping Energy Landscapes of Non-Convex Learning Problems.
CoRR
Maria Pavlovskaia, Kewei Tu, Song-Chun Zhu
2014 — conf
Mapping the Energy Landscape of Non-convex Optimization Problems.
EMMCVPR
Maria Pavlovskaia, Kewei Tu, Song-Chun Zhu
2013 J jnl
Joint Video and Text Parsing for Understanding Events and Answering Queries.
CoRR
Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, Song Chun Zhu
2013 — conf
Unsupervised Structure Learning of Stochastic And-Or Grammars.
NIPS
Kewei Tu, Maria Pavlovskaia, Song Chun Zhu
2012 — conf
Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars.
EMNLP-CoNLL
Kewei Tu, Vasant G. Honavar
2011 A conf
Exemplar-based Robust Coherent Biclustering.
SDM
Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant G. Honavar
2011 A* conf
On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars.
IJCAI
Kewei Tu, Vasant G. Honavar
2008 — conf
Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering.
ICGI
Kewei Tu, Vasant G. Honavar
2005 — conf
An Approach to RDF(S) Query, Manipulation and Inference on Databases.
WAIM
Jing Lu, Yong Yu, Kewei Tu, Chenxi Lin, Lei Zhang
2005 B conf
CMC: Combining Multiple Schema-Matching Strategies Based on Credibility Prediction.
DASFAA
Kewei Tu, Yong Yu
2005 Misc conf
Towards Imaging Large-Scale Ontologies for Quick Understanding and Analysis.
ISWC
Kewei Tu, Miao Xiong, Lei Zhang, Haiping Zhu, Jie Zhang, Yong Yu
2004 Misc conf
ORIENT: Integrate Ontology Engineering into Industry Tooling Environment.
ISWC
Lei Zhang, Yong Yu, Jing Lu, Chenxi Lin, Kewei Tu, MingChuan Guo, Zhuo Zhang, Guo Tong Xie, Zhong Su, Yue Pan
2003 Misc conf
A Semantic Search Approach by Graph Matching with Negations and Inferences.
ICCS
Kewei Tu, Jing Lu, Haiping Zhu, Guowei Liu, Yong Yu