Xu Sun
Orcid: 0000-0001-8241-9320Affiliations:
- Peking University, School of EECS, MOE Key Lab of Computational Linguistics, China
- University of Tokyo, Japan (PhD 2010)
According to our database1,
Xu Sun
authored at least 235 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Defying Forgetting in Continual Relation Extraction via Batch Spectral Norm Regularization.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning.
Trans. Mach. Learn. Res., 2023
npj Digit. Medicine, 2023
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models.
CoRR, 2023
CoRR, 2023
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction.
CoRR, 2023
M<sup>3</sup>IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.
CoRR, 2023
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning.
CoRR, 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention.
ACM Trans. Knowl. Discov. Data, 2022
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning.
CoRR, 2022
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
CoRR, 2021
Well-classified Examples are Underestimated in Classification with Deep Neural Networks.
CoRR, 2021
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings?
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method.
IEEE Trans. Knowl. Data Eng., 2020
Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network.
CoRR, 2020
CoRR, 2020
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019
Towards easier and faster sequence labeling for natural language processing: A search-based probabilistic online learning framework (SAPO).
Inf. Sci., 2019
CoRR, 2019
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks.
CoRR, 2019
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2018
Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet.
CoRR, 2018
CoRR, 2018
Identifying High-Quality Chinese News Comments Based on Multi-Target Text Matching Model.
CoRR, 2018
Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions.
CoRR, 2018
CoRR, 2018
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text.
CoRR, 2018
Exploration on Generating Traditional Chinese Medicine Prescription from Symptoms with an End-to-End method.
CoRR, 2018
Proceedings of the Natural Language Processing and Chinese Computing, 2018
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing.
CoRR, 2017
Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing.
CoRR, 2017
Does Higher Order LSTM Have Better Accuracy in Chunking and Named Entity Recognition?
CoRR, 2017
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text.
CoRR, 2017
Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method.
CoRR, 2017
Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning.
CoRR, 2017
Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks.
CoRR, 2017
A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification.
CoRR, 2017
Transfer Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.
CoRR, 2017
Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.
Proceedings of the Natural Language Processing and Chinese Computing, 2017
Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting.
Proceedings of the 34th International Conference on Machine Learning, 2017
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features.
Proceedings of the COLING 2016, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
Towards Shockingly Easy Structured Classification: A Search-based Probabilistic Online Learning Framework.
CoRR, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
2014
CoRR, 2014
Feature-Frequency-Adaptive On-line Training for Fast and Accurate Natural Language Processing.
Comput. Linguistics, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Coarse-grained Candidate Generation and Fine-grained Re-ranking for Chinese Abbreviation Prediction.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
IEEE Trans. Knowl. Data Eng., 2013
Learning Abbreviations from Chinese and English Terms by Modeling Non-Local Information.
ACM Trans. Asian Lang. Inf. Process., 2013
Probabilistic Chinese word segmentation with non-local information and stochastic training.
Inf. Process. Manag., 2013
Generalized Abbreviation Prediction with Negative Full Forms and Its Application on Improving Chinese Web Search.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013
Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
A unified graph model for personalized query-oriented reference paper recommendation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
Proceedings of the 21st World Wide Web Conference, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012
2011
Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method.
Proceedings of the ICDM 2010, 2010
Proceedings of the COLING 2010, 2010
Proceedings of the ACL 2010, 2010
2009
A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009
Proceedings of the IJCAI 2009, 2009
Sequential Labeling with Latent Variables: An Exact Inference Algorithm and its Efficient Approximation.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009
Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information.
Proceedings of the ACL 2009, 2009
2008
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression.
J. Comput. Sci. Technol., 2008
Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inference.
Proceedings of the COLING 2008, 2008
2007
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2007
2006
Chinese Abbreviation-Definition Identification: A SVM Approach Using Context Information.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
Chinese Abbreviation Identification Using Abbreviation-Template Features and Context Information.
Proceedings of the Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead, 2006