Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations.

[BibT_eX]

[DOI]

Tung Nguyen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Improving Vietnamese-English Cross-Lingual Retrieval for Legal and General Domains.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ToVo: Toxicity Taxonomy via Voting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Topic Modeling for Short Texts via Optimal Transport-Based Clustering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Few-Shot, No Problem: Descriptive Continual Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Continual variational dropout: a view of auxiliary local variables in continual learning.

[BibT_eX]

[DOI]

Mach. Learn., January, 2024

Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Mixture of Experts Meets Prompt-Based Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Mixture of Experts Meets Prompt-Based Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Preserving Generalization of Language models in Few-shot Continual Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization.

[BibT_eX]

[DOI]

Duy-Tung Pham

Thien Trang Nguyen Vu

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

Lifelong Event Detection via Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Realistic Evaluation of Toxicity in Large Language Models.

[BibT_eX]

[DOI]

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

Continual Relation Extraction via Sequential Multi-Task Learning.

[BibT_eX]

[DOI]

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

2023

Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

A Spectral Viewpoint on Continual Relation Extraction.

[BibT_eX]

[DOI]

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

Retrieving Relevant Context to Align Representations for Cross-lingual Event Detection.

[BibT_eX]

[DOI]

Chien Nguyen

Linh Ngo Van

Thien Huu Nguyen

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

2022

Adaptive infinite dropout for noisy and sparse data streams.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Revisiting Supervised Word Embeddings.

[BibT_eX]

[DOI]

J. Inf. Sci. Eng., 2022

From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Balancing stability and plasticity when learning topic models from short and noisy text streams.

[BibT_eX]

[DOI]

Neurocomputing, 2022

A graph convolutional topic model for short and noisy text streams.

[BibT_eX]

[DOI]

Ngo Van Linh

Tran Xuan Bach

Khoat Than

Neurocomputing, 2022

Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method.

[BibT_eX]

[DOI]

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

Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning.

[BibT_eX]

[DOI]

Nghia Trung Ngo

Linh Ngo Van

Thien Huu Nguyen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Selecting Optimal Context Sentences for Event-Event Relation Extraction.

[BibT_eX]

[DOI]

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

2021

Boosting prior knowledge in streaming variational Bayes.

[BibT_eX]

[DOI]

Neurocomputing, 2021

2020

Bag of biterms modeling for short texts.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Graph Convolutional Topic Model for Data Streams.

[BibT_eX]

[DOI]

Ngo Van Linh

Tran Xuan Bach

Khoat Than

CoRR, 2020

Neural Poisson Factorization.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Enriching User Representation in Neural Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

Infinite Dropout for training Bayesian models from data streams.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings.

[BibT_eX]

[DOI]

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

2018

Collaborative Topic Model for Poisson distributed ratings.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

Reducing Class Overlapping in Supervised Dimension Reduction.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Symposium on Information and Communication Technology, 2018

2017

An effective and interpretable method for document classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Keeping Priors in Streaming Bayesian Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016

Streaming aspect-sentiment analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015

Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2015

2014

An interpretable method for text summarization based on simplicial non-negative matrix factorization.

[BibT_eX]

[DOI]

Nguyen Kim Anh

Nguyen Khac Toi

Ngo Van Linh

Proceedings of the Fifth Symposium on Information and Communication Technology, 2014

An Effective NMF-Based Method for Supervised Dimension Reduction.

[BibT_eX]

[DOI]

Ngo Van Linh

Nguyen Kim Anh

Khoat Than

Proceedings of the Knowledge and Systems Engineering, 2014

2013

Document clustering using dirichlet process mixture model of von Mises-Fisher distributions.

[BibT_eX]

[DOI]

Nguyen Kim Anh

Nguyen The Tam

Ngo Van Linh

Proceedings of the 4th International Symposium on Information and Communication Technology, 2013

Document classification using semi-supervived mixture model of von Mises-Fisher distributions on document manifold.

[BibT_eX]

[DOI]

Proceedings of the 4th International Symposium on Information and Communication Technology, 2013

Document clustering using mixture model of von Mises-Fisher distributions on document manifold.

[BibT_eX]

[DOI]

Nguyen Kim Anh

Nguyen The Tarn

Ngo Van Linh

Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

Multi-labeled document classification using semi-supervived mixture model of Watson distributions on document manifold.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

2012

Efficient label propagation for classification on information networks.

[BibT_eX]

[DOI]

Nguyen Thi Kim Anh

Vu Minh Thanh

Ngo Van Linh

Proceedings of the Symposium on Information and Communication Technology 2012, 2012

Improving Vietnamese Web Page Classification by Combining Hybrid Feature Selection and Label Propagation with Link Information.

[BibT_eX]

[DOI]

Ngo Van Linh

Nguyen Thi Kim Anh

Cao Manh Dat

Proceedings of the Context-Aware Systems and Applications - First International Conference, 2012

Ngo Van Linh

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