Thien Huu Nguyen
Orcid: 0000-0003-3768-4736
According to our database1,
Thien Huu Nguyen
authored at least 138 papers
between 2010 and 2024.
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Bibliography
2024
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey.
ACM Comput. Surv., February, 2024
Continual variational dropout: a view of auxiliary local variables in continual learning.
Mach. Learn., January, 2024
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective.
CoRR, 2024
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering.
CoRR, 2024
Zero-shot Cross-lingual Transfer Learning with Multiple Source and Target Languages for Information Extraction: Language Selection and Adversarial Training.
CoRR, 2024
Taipan: Efficient and Expressive State Space Language Models with Selective Attention.
CoRR, 2024
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization.
CoRR, 2024
Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective.
CoRR, 2024
ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning.
CoRR, 2024
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models.
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Transitioning Representations between Languages for Cross-lingual Event Detection via Langevin Dynamics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Hybrid Knowledge Transfer for Improved Cross-Lingual Event Detection via Hierarchical Sample Selection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Tutorial Recommendation for Livestream Videos using Discourse-Level Consistency and Ontology-Based Filtering.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
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
Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures.
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models.
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 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021
Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution.
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
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021
2020
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks.
CoRR, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Exploiting the Matching Information in the Support Set for Few Shot Event Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization.
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 First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control.
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 7th International Conference on Learning Representations, 2019
Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing.
CoRR, 2018
Similar but not the Same - Word Sense Disambiguation Improves Event Detection via Neural Representation Matching.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 4th Workshop on Noisy User-generated Text, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
2016
Proceedings of the 2016 Text Analysis Conference, 2016
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016
Proceedings of the NAACL HLT 2016, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Proceedings of the COLING 2016, 2016
2015
CoRR, 2015
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2011
Combining Proper Name-Coreference with Conditional Random Fields for Semi-supervised Named Entity Recognition in Vietnamese Text.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
2010
Proceedings of the 2010 Symposium on Information and Communication Technology, 2010