← Authors

Thien Huu Nguyen

98 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (13) 🏠 Conference Loyalist (28) πŸ† Keyword Champion (11) πŸ‘₯ Mega-Team (34) πŸ”¬ Deep Specialist (30) 🀝 Dynamic Duo (28) πŸ—ƒοΈ Keyword Collector (321) πŸ’Ž Century Club (97) πŸ”₯ Unstoppable (12) ❓ The Questioner (3) ⚑ Prolific Year (7) πŸš€ Conference Pioneer

Conferences

EMNLP (28) ACL (19) COLING (14) NAACL (11) IJCNLP (8) AAAI (7) EACL (4) INTERSPEECH (3) ICLR (2) CVPR (1) SEMEVAL (1)

Top co-authors

Franck Dernoncourt (28) Amir Pouran Ben Veyseh (22) Linh Ngo Van (18) Viet Dac Lai (14) Minh Van Nguyen (11) Ralph Grishman (9) Nguyen Thi Ngoc Diep (7) Sang Dinh (7) Duy Phung (7) Hieu Man (7)

Keywords

relation extraction (16) representation learning (14) event detection (11) optimal transport (11) deep learning (9) information extraction (9) graph convolutional network (8) few-shot learning (8) continual learning (8) named entity recognition (7) event extraction (6) syntactic structure (6) large language model (6) catastrophic forgetting (5) text classification (5) natural language processing (5) domain adaptation (4) event coreference resolution (4) generative model (4) multi-task learning (4)

Papers

GloCTM: Cross-Lingual Topic Modeling via a Global Context Space AAAI 2026
From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025
Massively Multilingual Instruction-Following Information Extraction ACL 2025
Topic Modeling for Short Texts via Optimal Transport-Based Clustering ACL 2025
HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning ACL 2025
GUI Agents: A Survey ACL 2025
Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction NAACL 2025
GloCOM: A Short Text Neural Topic Model via Global Clustering Context NAACL 2025
Multi-Surrogate-Objective Optimization for Neural Topic Models EMNLP 2025
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective AAAI 2025
EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments EMNLP 2025
Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations NAACL 2025
Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction NAACL 2025
BBN-U.Oregon’s ALERT system at GenAI Content Detection Task 3: Robust Authorship Style Representations for Cross-Domain Machine-Generated Text Detection COLING 2025
Improving Vietnamese-English Cross-Lingual Retrieval for Legal and General Domains NAACL 2025
ToVo: Toxicity Taxonomy via Voting NAACL 2025
Few-Shot, No Problem: Descriptive Continual Relation Extraction AAAI 2025
Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction ACL 2025
MaGiX: A Multi-Granular Adaptive Graph Intelligence Framework for Enhancing Cross-Lingual RAG EMNLP 2025
ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning EMNLP 2024
CAMAL: A Novel Dataset for Multi-label Conversational Argument Move Analysis COLING 2024
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages COLING 2024
Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports COLING 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024
Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective EMNLP 2024
Lifelong Event Detection via Optimal Transport EMNLP 2024
Continual Relation Extraction via Sequential Multi-Task Learning AAAI 2024
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models INTERSPEECH 2024
Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models AAAI 2024
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization EMNLP 2024
BKEE: Pioneering Event Extraction in the Vietnamese Language COLING 2024
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning INTERSPEECH 2023
Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection INTERSPEECH 2023
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning EMNLP 2023
Event Extraction in Video Transcripts COLING 2022
MECI: A Multilingual Dataset for Event Causality Identification COLING 2022
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction COLING 2022
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning COLING 2022
Keyphrase Prediction from Video Transcripts: New Dataset and Directions COLING 2022
Generating Complement Data for Aspect Term Extraction with GPT-2 NAACL 2022
Selecting Optimal Context Sentences for Event-Event Relation Extraction AAAI 2022
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing EACL 2021
MadDog: A Web-based System for Acronym Identification and Disambiguation EACL 2021
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures EACL 2021
Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters IJCNLP 2021
Hierarchical Graph Convolutional Networks for Jointly Resolving Cross-document Coreference of Entity and Event Mentions NAACL 2021
Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures NAACL 2021
Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks NAACL 2021
DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction ACL 2021
Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters ACL 2021
Event Extraction from Historical Texts: A New Dataset for Black Rebellions ACL 2021
DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction SEMEVAL 2021
Unleash GPT-2 Power for Event Detection ACL 2021
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution ACL 2021
Unleash GPT-2 Power for Event Detection IJCNLP 2021
DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction IJCNLP 2021
Learning Prototype Representations Across Few-Shot Tasks for Event Detection EMNLP 2021
Modeling Document-Level Context for Event Detection via Important Context Selection EMNLP 2021
Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments EMNLP 2021
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models EMNLP 2021
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport EMNLP 2021
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks EMNLP 2021
Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks EMNLP 2021
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution IJCNLP 2021
Event Extraction from Historical Texts: A New Dataset for Black Rebellions IJCNLP 2021
Dictionary-Guided Scene Text Recognition CVPR 2021
Fine-Grained Event Trigger Detection EACL 2021
Improving Slot Filling by Utilizing Contextual Information ACL 2020
Exploiting the Syntax-Model Consistency for Neural Relation Extraction ACL 2020
Extensively Matching for Few-shot Learning Event Detection ACL 2020
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization COLING 2020
What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation COLING 2020
Introducing a New Dataset for Event Detection in Cybersecurity Texts EMNLP 2020
Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks EMNLP 2020
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning EMNLP 2020
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction EMNLP 2020
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation EMNLP 2020
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction EMNLP 2020
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game EMNLP 2020
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning EMNLP 2019
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings ACL 2019
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures ACL 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning ICLR 2019
Systematic Generalization: What Is Required and Can It Be Learned? ICLR 2019
Extending Event Detection to New Types with Learning from Keywords EMNLP 2019
One for All: Neural Joint Modeling of Entities and Events AAAI 2019
Similar but not the Same: Word Sense Disambiguation Improves Event Detection via Neural Representation Matching EMNLP 2018
A Case Study on Learning a Unified Encoder of Relations EMNLP 2018
Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs COLING 2018
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network IJCNLP 2017
Modeling Skip-Grams for Event Detection with Convolutional Neural Networks EMNLP 2016
Joint Learning of Local and Global Features for Entity Linking via Neural Networks COLING 2016
Joint Event Extraction via Recurrent Neural Networks NAACL 2016
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction IJCNLP 2015
Event Detection and Domain Adaptation with Convolutional Neural Networks IJCNLP 2015
Event Detection and Domain Adaptation with Convolutional Neural Networks ACL 2015
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction ACL 2015
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction ACL 2014