Kewei Tu

According to our database, Kewei Tu authored at least 128 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference.

You Wu, Haoyi Wu, Kewei Tu

CoRR, 2024

Efficient Long-range Language Modeling with Self-supervised Causal Retrieval.

Xiang Hu, Zhihao Teng, Wei Wu, Kewei Tu

CoRR, 2024

Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation.

Chaoyi Ai, Yong Jiang, Shen Huang, Pengjun Xie, Kewei Tu

CoRR, 2024

Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers.

Chao Lou, Zixia Jia, Zilong Zheng, Kewei Tu

CoRR, 2024

Unsupervised Morphological Tree Tokenizer.

Qingyang Zhu, Xiang Hu, Pengyu Ji, Wei Wu, Kewei Tu

CoRR, 2024

RoT: Enhancing Large Language Models with Reflection on Search Trees.

Wenyang Hui, Chengyue Jiang, Yan Wang, Kewei Tu

CoRR, 2024

Augmenting Transformers with Recursively Composed Multi-grained Representations.

Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL.

Ning Cheng, Zhaohui Yan, Ziming Wang, Zhijie Li, Jiaming Yu, Zilong Zheng, Kewei Tu, Jinan Xu, Wenjuan Han

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models.

Yida Zhao, Chao Lou, Kewei Tu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Layer-Condensed KV Cache for Efficient Inference of Large Language Models.

Haoyi Wu, Kewei Tu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale.

Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, Kewei Tu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts.

Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields.

Chaoyi Ai, Kewei Tu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model.

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

CoRR, 2023

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.

Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, Yong Jiang

CoRR, 2023

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.

Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification.

Xiang Hu, Xinyu Kong, Kewei Tu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset.

Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, Yi Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AMR Parsing with Causal Hierarchical Attention and Pointers.

Chao Lou, Kewei Tu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Simple Hardware-Efficient PCFGs with Independent Left and Right Productions.

Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Span Representation by Efficient Span-Level Attention.

Pengyu Ji, Songlin Yang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Using Interpretation Methods for Model Enhancement.

Zhuo Chen, Chengyue Jiang, Kewei Tu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks.

Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

COMBO: A Complete Benchmark for Open KG Canonicalization.

Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection.

Songlin Yang, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation.

Haoyi Wu, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Do PLMs Know and Understand Ontological Knowledge?

Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints.

Chao Lou, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role.

Wei Liu, Songlin Yang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing.

Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field.

Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Graph Propagation based Data Augmentation for Named Entity Recognition.

Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Joint Information Extraction with Cross-Task and Cross-Instance High-Order Modeling.

Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu

CoRR, 2022

Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference.

Songlin Yang, Kewei Tu

CoRR, 2022

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition.

Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Improving Constituent Representation with Hypertree Neural Networks.

Hao Zhou, Gongshen Liu, Kewei Tu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SHARP: Search-Based Adversarial Attack for Structured Prediction.

Liwen Zhang, Zixia Jia, Wenjuan Han, Zilong Zheng, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs.

Songlin Yang, Wei Liu, Kewei Tu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition.

Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Kewei Tu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction.

Zhaohui Yan, Zixia Jia, Kewei Tu

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing.

Chao Lou, Wenjuan Han, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Semantic Dependency Parsing with Edge GNNs.

Songlin Yang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Named Entity and Relation Extraction with Multi-Modal Retrieval.

Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field.

Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing.

Songlin Yang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks.

Songlin Yang, Kewei Tu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Headed-Span-Based Projective Dependency Parsing.

Songlin Yang, Kewei Tu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing.

Chao Lou, Songlin Yang, Kewei Tu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference.

Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition.

Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

CoRR, 2021

Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings.

Xinyu Wang, Zixia Jia, Yong Jiang, Kewei Tu

CoRR, 2021

Constrained Text Generation with Global Guidance - Case Study on CommonGen.

Yixian Liu, Liwen Zhang, Wenjuan Han, Yue Zhang, Kewei Tu

CoRR, 2021

PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols.

Songlin Yang, Yanpeng Zhao, Kewei Tu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Neuralizing Regular Expressions for Slot Filling.

Chengyue Jiang, Zijian Jin, Kewei Tu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Unsupervised Natural Language Parsing (Introductory Tutorial).

Kewei Tu, Yong Jiang, Wenjuan Han, Yanpeng Zhao

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, 2021

Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing.

Liwen Zhang, Ge Wang, Wenjuan Han, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Neural Bi-Lexicalized PCFG Induction.

Songlin Yang, Yanpeng Zhao, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor.

Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Automated Concatenation of Embeddings for Structured Prediction.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Generalized Supervised Attention for Text Generation.

Yixian Liu, Liwen Zhang, Xinyu Zhang, Yong Jiang, Yue Zhang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Risk Minimization for Zero-shot Sequence Labeling.

Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-View Cross-Lingual Structured Prediction with Minimum Supervision.

Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Neural Latent Dependency Model for Sequence Labeling.

Yang Zhou, Yong Jiang, Zechuan Hu, Kewei Tu

CoRR, 2020

Structural Knowledge Distillation.

Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

CoRR, 2020

Fast and Accurate Sequence Labeling with Approximate Inference Network.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

CoRR, 2020

Learning Numeral Embeddings.

Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu

CoRR, 2020

An Empirical Study of Encoders and Decoders in Graph-Based Dependency Parsing.

Ge Wang, Ziyuan Hu, Zechuan Hu, Kewei Tu

IEEE Access, 2020

Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data.

Xinyu Wang, Yong Jiang, Kewei Tu

Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training.

Xinyu Wang, Kewei Tu

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders.

Zhao Li, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks.

Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, Kewei Tu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Numeral Embedding.

Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Investigation of Potential Function Designs for Neural CRF.

Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Adversarial Attack and Defense of Structured Prediction Models.

Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

More Embeddings, Better Sequence Labelers?

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Second-Order Unsupervised Neural Dependency Parsing.

Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding.

Ge Wang, Kewei Tu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Deep Inside-outside Recursive Autoencoder with All-span Objective.

Ruyue Hong, Jiong Cai, Kewei Tu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Survey of Unsupervised Dependency Parsing.

Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Structure-Level Knowledge Distillation For Multilingual Sequence Labeling.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation.

Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

An Empirical Comparison of Unsupervised Constituency Parsing Methods.

Jun Li, Yifan Cao, Jiong Cai, Yong Jiang, Kewei Tu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders.

Zixia Jia, Youmi Ma, Jiong Cai, Kewei Tu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Learning and evaluation of latent dependency forest models.

Yong Jiang, Yang Zhou, Kewei Tu

Neural Comput. Appl., 2019

Lexicalized Neural Unsupervised Dependency Parsing.

Wenjuan Han, Yong Jiang, Kewei Tu

Neurocomputing, 2019

Projective Latent Dependency Forest Models.

Yong Jiang, Yang Zhou, Kewei Tu

IEEE Access, 2019

Latent Variable Autoencoder.

Wenjuan Han, Ge Wang, Kewei Tu

IEEE Access, 2019

A Regularization-based Framework for Bilingual Grammar Induction.

Yong Jiang, Wenjuan Han, Kewei Tu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multilingual Grammar Induction with Continuous Language Identification.

Wenjuan Han, Ge Wang, Yong Jiang, Kewei Tu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing.

Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 2019

Latent Variable Sentiment Grammar.

Liwen Zhang, Kewei Tu, Yue Zhang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Second-Order Semantic Dependency Parsing with End-to-End Neural Networks.

Xinyu Wang, Jingxian Huang, Kewei Tu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Enhancing Unsupervised Generative Dependency Parser with Contextual Information.

Wenjuan Han, Yong Jiang, Kewei Tu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Bidirectional Transition-Based Dependency Parsing.

Yunzhe Yuan, Yong Jiang, Kewei Tu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Language Style Transfer from Sentences with Arbitrary Unknown Styles.

Yanpeng Zhao, Wei Bi, Deng Cai, Xiaojiang Liu, Kewei Tu, Shuming Shi

CoRR, 2018

QA4IE: A Question Answering Based Framework for Information Extraction.

Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu

Proceedings of the Semantic Web - ISWC 2018, 2018

Gaussian Mixture Latent Vector Grammars.

Yanpeng Zhao, Liwen Zhang, Kewei Tu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Maximum A Posteriori Inference in Sum-Product Networks.

Jun Mei, Yong Jiang, Kewei Tu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning Bayesian network structures under incremental construction curricula.

Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian

Neurocomputing, 2017

Expected Likelihood: Not a Good Metric for Gaussian Embeddings.

Yiding Tian, Lin Qiu, Kewei Tu, Yong Yu

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017

Structured Attentions for Visual Question Answering.

Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma

Proceedings of the IEEE International Conference on Computer Vision, 2017

Semi-supervised Structured Prediction with Neural CRF Autoencoder.

Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition.

Yong Jiang, Wenjuan Han, Kewei Tu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Dependency Grammar Induction with Neural Lexicalization and Big Training Data.

Wenjuan Han, Yong Jiang, Kewei Tu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

CRF Autoencoder for Unsupervised Dependency Parsing.

Jiong Cai, Yong Jiang, Kewei Tu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Latent Dependency Forest Models.

Shanbo Chu, Yong Jiang, Kewei Tu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Stochastic and-or Grammars: A Unified Framework and Logic Perspective.

Kewei Tu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sequence Prediction Using Neural Network Classiers.

Yanpeng Zhao, Shanbo Chu, Yang Zhou, Kewei Tu

Proceedings of the 13th International Conference on Grammatical Inference, 2016

Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity.

Kewei Tu

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Context-Dependent Sense Embedding.

Lin Qiu, Kewei Tu, Yong Yu

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Unsupervised Neural Dependency Parsing.

Yong Jiang, Wenjuan Han, Kewei Tu

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Curriculum Learning of Bayesian Network Structures.

Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014

Joint Video and Text Parsing for Understanding Events and Answering Queries.

Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, Song Chun Zhu

IEEE Multim., 2014

Mapping Energy Landscapes of Non-Convex Learning Problems.

Maria Pavlovskaia, Kewei Tu, Song-Chun Zhu

CoRR, 2014

Mapping the Energy Landscape of Non-convex Optimization Problems.

Maria Pavlovskaia, Kewei Tu, Song-Chun Zhu

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

2013

Unsupervised Structure Learning of Stochastic And-Or Grammars.

Kewei Tu, Maria Pavlovskaia, Song Chun Zhu

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars.

Kewei Tu, Vasant G. Honavar

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

Exemplar-based Robust Coherent Biclustering.

Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant G. Honavar

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars.

Kewei Tu, Vasant G. Honavar

Proceedings of the IJCAI 2011, 2011

2008

Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering.

Kewei Tu, Vasant G. Honavar

Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

2005

An Approach to RDF(S) Query, Manipulation and Inference on Databases.

Jing Lu, Yong Yu, Kewei Tu, Chenxi Lin, Lei Zhang

Proceedings of the Advances in Web-Age Information Management, 2005

Towards Imaging Large-Scale Ontologies for Quick Understanding and Analysis.

Kewei Tu, Miao Xiong, Lei Zhang, Haiping Zhu, Jie Zhang, Yong Yu

Proceedings of the Semantic Web - ISWC 2005, 4th International Semantic Web Conference, 2005

CMC: Combining Multiple Schema-Matching Strategies Based on Credibility Prediction.

Kewei Tu, Yong Yu

Proceedings of the Database Systems for Advanced Applications, 2005

2004

ORIENT: Integrate Ontology Engineering into Industry Tooling Environment.

Lei Zhang, Yong Yu, Jing Lu, Chenxi Lin, Kewei Tu, MingChuan Guo, Zhuo Zhang, Guo Tong Xie, Zhong Su, Yue Pan

Proceedings of the Semantic Web, 2004

2003

A Semantic Search Approach by Graph Matching with Negations and Inferences.

Kewei Tu, Jing Lu, Haiping Zhu, Guowei Liu, Yong Yu

Proceedings of the Conceptual Structures for Knowledge Creation and Communication, 2003