Publications
2024
- ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning
Hieu Man, Nghia Trung Ngo, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of EMNLP 2024 (Demonstrations)
[PAPER] - Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective
Van-Cuong Pham and Thien Huu Nguyen
Proceedings of EMNLP 2024
[To Appear] - NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization
Duy-Tung Pham, Thien Trang Nguyen Vu, Tung Nguyen, Linh Van Ngo, Duc Anh Nguyen, and Thien Huu Nguyen
Findings of EMNLP 2024
[To Appear] - Preserving Generalization of Language Models in Few-shot Continual Relation Extraction
Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, and Thien Huu Nguyen
Proceedings of EMNLP 2024
[To Appear] - Lifelong Event Detection via Optimal Transport
Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Van Ngo, and Thien Huu Nguyen
Proceedings of EMNLP 2024
[To Appear] - Realistic Evaluation of Toxicity in Large Language Models
Tinh Son Luong, Thanh-Thien Le, Linh Van Ngo, and Thien Huu Nguyen
Findings of ACL 2024
[PAPER] - Counterfactual Augmentation for Robust Authorship Representation Learning
Hieu Man and Thien Huu Nguyen
Proceedings of SIGIR 2024
[PAPER] - MCECR: A Novel Dataset for Multilingual Cross-Document Event Coreference Resolution
Amir Pouran Ben Veyseh, Viet Dac Lai, Chien Van Nguyen, Franck Dernoncourt, and Thien Huu Nguyen
Findings of NAACL-HLT 2024
[PAPER] - SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning
Thanh-Thien Le, Viet Dao, Linh Van Nguyen, Thi-Nhung Nguyen, Linh Van Ngo, and Thien Huu Nguyen
Proceedings of NAACL-HLT 2024
[PAPER] - CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, Hieu Man, Nghia Trung Ngo, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
Proceedings of LREC-COLING 2024, Torino, Italia, May 2024
[PAPER] - Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports
Hieu Man, Chien Van Nguyen, Nghia Trung Ngo, Linh Ngo, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of LREC-COLING 2024, Torino, Italia, May 2024
[PAPER] - CAMAL: A Novel Dataset for Multi-label Conversational Argument Move Analysis
Viet Dac Lai, Duy Ngoc Pham, Jonathan Steinberg, Jamie Mikeska, and Thien Huu Nguyen
Proceedings of LREC-COLING 2024, Torino, Italia, May 2024
[PAPER] - BKEE: Pioneering Event Extraction in the Vietnamese Language
Thi-Nhung Nguyen, Bang Tien Tran, Trong-Nghia Luu, Thien Huu Nguyen, and Kiem-Hieu Nguyen
Proceedings of LREC-COLING 2024, Torino, Italia, May 2024
[PAPER] - Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models
Hieu Man, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of AAAI 2024, Vancouver, Canada, February 2024
[PAPER] - Continual Relation Extraction via Sequential Multi-task Learning
Thanh Thien Le, Manh Nguyen, Linh Ngo Van, and Thien Huu Nguyen
Proceedings of AAAI 2024, Vancouver, Canada, February 2024
[PAPER]
2023
- Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback
Viet Dac Lai, Chien Van Nguyen, Nghia Trung Ngo, Thuat Nguyen, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
Proceedings of EMNLP 2023 (Demonstrations)
[PAPER] - ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning
Viet Dac Lai, Nghia Trung Ngo, Amir Pouran Ben Veyseh, Hieu Man, Franck Dernoncourt, Trung Bui, Thien Huu Nguyen
Findings of EMNLP 2023
[PAPER] - Transitioning Representations between Languages for Cross-lingual Event Detection via Langevin Dynamics
Chien Van Nguyen, Huy Huu Nguyen, Franck Dernoncourt and Thien Huu Nguyen
Findings of EMNLP 2023
[PAPER] - A Spectral Viewpoint on Continual Relation Extraction
Huy Huu Nguyen, Chien Van Nguyen, Linh Van Ngo, Anh Tuan Luu and Thien Huu Nguyen
Findings of EMNLP 2023
[PAPER] - Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heinz, and Dan Roth
Journal of ACM Computing Surveys 2023
[PAPER] - Boosting Punctuation Restoration with Data Generation and Reinforcement Learning
Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of INTERSPEECH 2023
[To Appear] - Combining Heterogeneous Structures for Event Causality Identification
Amir Pouran Ben Veyseh, Franck Dernoncourt and Thien Huu Nguyen
INTERSPEECH 2023
[To Appear] - Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection
Minh Van Nguyen, Kishan K C, Toan Nguyen, Thien Huu Nguyen, Ankit Chadha, and Thuy Vu
Proceedings of INTERSPEECH 2023
[To Appear] - Hybrid Knowledge Transfer for Improved Cross-Lingual Event Detection via Hierarchical Sample Selection
Luis Guzman Nateras, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of ACL 2023
[PAPER] - Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training
Amir Pouran Ben Veyseh, Franck Dernoncourt, Bonan Min and Thien Huu Nguyen
Findings of ACL 2023
[PAPER] - Retrieving Relevant Context to Align Representations for Cross-lingual Event Detection
Chien Van Nguyen, Linh Van Ngo and Thien Huu Nguyen
Findings of ACL 2023
[PAPER] - Contextualized Soft Prompts for Extraction of Event Arguments
Chien Van Nguyen, Hieu Man Duc Trong and Thien Huu Nguyen
Findings of ACL 2023
[PAPER] - Automated Scoring of Argumentation-focused Teaching Transcripts: Added Value of Human Annotations
Duy N. Pham, Viet Dac Lai, Jamie Mikeska, Jonathan Steinberg, Heather Howell and Thien Huu Nguyen
Proceedings of the 2023 Annual Meeting of the National Council on Measurement in Education (NCME)
[To Appear] - Towards a Health Knowledge Graph: Integration of External Knowledge into Pre-trained Language Models Capturing Physician Reasoning from EHR
Qiuhao Lu, Andrew Wen, Thien Huu Nguyen and Hongfang Liu.
Proceedings of the American Medical Informatics Association (AMIA) Informatics Summit
[To Appear]
2022
- Few-Shot Cross-Lingual Learning for Event Detection
Luis Guzman Nateras, Viet Lai, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of the second Workshop on Multilingual Representation Learning (MRL 2022) at EMNLP 2022 (Best Paper Runner-up Award)
[PAPER] - Cross-lingual Short-text Entity Linking: Generating Features for Neuro-Symbolic Methods
Qiuhao Lu, Sairam Gurajada, Prithviraj Sen, Lucian Popa, Dejing Dou and Thien Huu Nguyen
Proceedings of the Workshop on Data Science with Human in the Loop (DaSH) at EMNLP 2022
[PAPER] - MEE: A Novel Multilingual Event Extraction Dataset
Amir Pouran Ben Veyseh, Javid Ebrahimi, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of EMNLP 2022
[PAPER] - Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations
Minh Van Nguyen, Bonan Min, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of EMNLP 2022
[PAPER] - Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method
Viet Dac Lai, Hieu Man, Linh Ngo, Franck Dernoncourt and Thien Huu Nguyen
Findings of EMNLP 2022
[PAPER] - ClinicalT5: A Generative Language Model for Clinical Text
Qiuhao Lu, Dejing Dou and Thien Huu Nguyen
Findings of EMNLP 2022
[PAPER] - Unsupervised Domain Adaptation for Joint Information Extraction
Nghia Ngo Trung, Bonan Min and Thien Huu Nguyen
Findings of EMNLP 2022
[PAPER] - MECI: A Multilingual Dataset for Event Causality Identification
Viet Dac Lai, Amir Pouran Ben Veyseh, Minh Van Nguyen, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of COLING 2022
[PAPER] - Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning
Nghia Ngo Trung, Linh Van Ngo, and Thien Huu Nguyen
Proceedings of COLING 2022
[PAPER] - Event Extraction in Video Transcripts
Amir Pouran Ben Veyseh, Viet Dac Lai, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of COLING 2022
[PAPER] - Keyphrase Prediction from Video Transcripts: New Dataset and Directions
Amir Pouran Ben Veyseh, Quan Hung Tran, Seunghyun Yoon, Varun Manjunatha, Hanieh Deilamsalehy, Rajiv Jain, Trung Bui, Walter W. Chang, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of COLING 2022
[PAPER] - MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction
Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon, Rajiv Jain, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of COLING 2022
[PAPER] - BehanceMT: A Machine Translation Corpus for Livestreaming Video Transcripts
Minh Van Nguyen, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of the First Workshop On Transcript Understanding (TU) at COLING 2022
[PAPER] - MINION: a Large-Scale and Diverse Dataset for Multilingual Event Detection
Amir Pouran Ben Veyseh, Minh Van Nguyen, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of NAACL-HLT 2022
[PAPER] - Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies
Minh Van Nguyen, Bonan Min, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of NAACL-HLT 2022
[PAPER] - Cross-Lingual Event Detection via Optimized Adversarial Training
Luis Fernando Guzman-Nateras, Minh Van Nguyen, and Thien Huu Nguyen
Proceedings of NAACL-HLT 2022
[PAPER] - Word-Label Alignment for Event Detection: A New Perspective via Optimal Transport
Amir Pouran Ben Veyseh, and Thien Huu Nguyen
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics (*SEM 2022) at NAACL-HLT 2022
[PAPER] - Event Causality Identification via Generation of Important Context Words
Hieu Man Duc Trong, Minh Van Nguyen, and Thien Huu Nguyen
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics (*SEM 2022) at NAACL-HLT 2022
[PAPER] - FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction
Minh Van Nguyen, Nghia Trung Ngo, Bonan Min, and Thien Huu Nguyen
Proceedings of NAACL-HLT 2022 (Demonstrations)
[PAPER][Github][Documentation] - BehancePR: A Punctuation Restoration Dataset for Livestreaming Video Transcript
Viet Dac Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, and Thien Huu Nguyen
Findings of NAACL-HLT 2022
[PAPER] - Event Detection for Suicide Understanding
Luis Fernando Guzman-Nateras, Viet Dac Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, and Thien Huu Nguyen
Findings of NAACL-HLT 2022
[PAPER] - SemEval 2022 Task 12: Symlink - Linking Mathematical Symbols to their Descriptions
Viet Dac Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval) at NAACL-HLT 2022
[PAPER] - A New Dataset for Identifying Question-Answer Pairs in Video Transcripts
Viet Dac Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of LREC 2022
[PAPER] - BehanceCC: A ChitChat Detection Dataset For Livestreaming Video Transcripts
Viet Dac Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of LREC 2022
[PAPER] - Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text
Amir Pouran Ben Veyseh, Ning Xu, Quan Hung Tran, Varun Manjunatha, Franck Dernoncourt, and Thien Huu Nguyen
Findings of ACL 2022
[PAPER] - Document-Level Event Argument Extraction via Optimal Transport
Amir Pouran Ben Veyseh, Minh Van Nguyen, Franck Dernoncourt, Bonan Min, and Thien Huu Nguyen
Findings of ACL 2022
[PAPER] - Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022
Amir Pouran Ben Veyseh, Nicole Meister, Viet Dac Lai, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of the Second Workshop on Scientific Document Understanding at AAAI 2022
[PAPER] - SmartCaptions: A Fast, Light-weight System for Subtitle Segmentation
Viet Dac Lai, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of the Video Transcript Understanding Workshop at AAAI 2022
[To Appear] - Improving Keyphrase Extraction with Data Augmentation and Information Filtering
Amir Pouran Ben Veyseh, Quan Hung Tran, Seunghyun Yoon, Varun Manjunatha, Hanieh Deilamsalehy, Rajiv Jain, Trung Bui, Walter W Chang, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of the Video Transcript Understanding Workshop at AAAI 2022
[PAPER] - Tutorial Recommendation for Livestream Videos using Discourse-Level Consistency and Ontology-Based Filtering
Amir Pouran Ben Veyseh, Nicole Meister, Viet Dac Lai, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of the Video Transcript Understanding Workshop at AAAI 2022
[PAPER] - Selecting Optimal Context Sentences for Event-Event Relation Extraction
Hieu Man Duc Trong, Nghia Ngo Trung, Linh Van Ngo and Thien Huu Nguyen
Proceedings of AAAI 2022, Vancouver, Canada, February 2022
[PAPER]
2021
- Textual Data Augmentation for Patient Outcomes Prediction
Qiuhao Lu, Dejing Dou and Thien Huu Nguyen
Proceedings of the 12th International Workshop on Biomedical and Health Informatics (BHI) at IEEE BIBM 2021
[PAPER] - Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments
Minh Van Nguyen, Tuan Ngo Nguyen, Bonan Min and Thien Huu Nguyen
Proceedings of EMNLP 2021
[PAPER] - Modeling Document-Level Context for Event Detection via Important Context Selection
Amir Pouran Ben Veyseh, Minh Van Nguyen, Nghia Ngo Trung, Bonan Min and Thien Huu Nguyen
Proceedings of EMNLP 2021
[PAPER] - Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models
Qiuhao Lu, Dejing Dou and Thien Huu Nguyen
Findings of EMNLP 2021
[PAPER] - Learning Prototype Representations Across Few-Shot Tasks for Event Detection
Viet Lai, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of EMNLP 2021
[PAPER] - Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport
Duy Phung, Hieu Minh Tran, Minh Van Nguyen and Thien Huu Nguyen
Proceedings of the first Workshop on Multilingual Representation Learning (MRL 2021) at EMNLP 2021
[PAPER] - Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks
Minh Tran Phu, Minh Van Nguyen and Thien Huu Nguyen
Proceedings of the 7th Workshop on Noisy User-generated Text (W-NUT 2021) at EMNLP 2021
[PAPER] - Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks
Duong Le and Thien Huu Nguyen
Proceedings of the 7th Workshop on Noisy User-generated Text (W-NUT 2021) at EMNLP 2021 (Best Paper Runner-up Award)
[PAPER] - Unleash GPT-2 Power for Event Detection
Amir Pouran Ben Veyseh, Viet Dac Lai, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of ACL-IJCNLP 2021
[Paper] - Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution
Hieu Minh Tran, Duy Phung and Thien Huu Nguyen
Proceedings of ACL-IJCNLP 2021
[PAPER] - Event Extraction from Historical Texts: A New Dataset for Black Rebellions
Viet Dac Lai, Minh Van Nguyen, Heidi Kaufman and Thien Huu Nguyen
Findings of ACL-IJCNLP 2021
[PAPER] - Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters
Nghia Ngo Trung, Duy Phung and Thien Huu Nguyen
Findings of ACL-IJCNLP 2021
[PAPER] - Augmenting Open-Domain Event Detection with Synthetic Data from GPT-2
Amir Pouran Ben Veyseh, Minh Van Nguyen, Bonan Min and Thien Huu Nguyen
In Proceedings of ECML PKDD 2021
[PAPER] - Hierarchical Graph Convolutional Networks for Jointly Resolving Cross-document Coreference of Entity and Event Mentions
Duy Phung, Tuan Ngo Nguyen and Thien Huu Nguyen
Proceedings of the 15th Workshop on Graph-Based Natural Language Processing (TextGraphs-15) at NAACL-HLT 2021
[PAPER] - Graph Learning Regularization and Transfer Learning for Few-Shot Event Detection
Viet Dac Lai, Minh Van Nguyen, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of SIGIR 2021
[PAPER] - Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution
Qiuhao Lu, Thien Huu Nguyen, and Dejing Dou
Proceedings of SIGIR 2021
[PAPER] - Dictionary-guided Scene Text Recognition
Nguyen Nguyen, Thu Nguyen, Vinh Tran, Minh-Triet Tran, Thanh Duc Ngo, Thien Huu Nguyen, and Minh Hoai
Proceedings of CVPR 2021
[PAPER] - Dynamic Path Reasoning for Measurement Relation Extraction
Amir Pouran Ben Veyseh, Franck Dernoncourt, and Thien Huu Nguyen
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval) at ACL-IJCNLP 2021
[PAPER] - Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh and Thien Huu Nguyen
Proceedings of EACL 2021 (Demonstrations, Outstanding Demo Paper Award)
[PAPER][Github][Documentation][Demo] - Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks
Minh Van Nguyen, Viet Dac Lai and Thien Huu Nguyen
Proceedings of NAACL-HLT 2021
[PAPER] - Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures
Minh Phu Tran and Thien Huu Nguyen
Proceedings of NAACL-HLT 2021
[PAPER] - MadDog: A Web-based System for Acronym Identification and Disambiguation
Amir Pouran Ben Veyseh, Franck Dernoncourt, Walter Chang and Thien Huu Nguyen
Proceedings of EACL 2021 (Demonstrations, Best Demo Paper Award)
[PAPER] - Inducing Rich Interaction Structures between Words for Document-level Event Argument Extraction
Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Varun Manjunatha, Lidan Wang, Rajiv Jain, Doo Soon Kim, Walter Chang and Thien Huu Nguyen
Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021), Delhi, India, May, 2021
[PAPER] - Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures
Minh Van Nguyen and Thien Huu Nguyen
Proceedings of the Arabic Natural Language Processing Workshop at EACL 2021
[PAPER] - Fine-Grained Event Trigger Detection
Duong Le and Thien Huu Nguyen
Proceedings of EACL 2021
[PAPER] - Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding
Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang and Leo Anthony Celi
Proceedings of the Workshop on Scientific Document Understanding at AAAI 2021
[PAPER]
2020
- What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation
Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran and Thien Huu Nguyen
Proceedings of COLING 2020
[PAPER] - Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization
Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald and Yunyao Li
Proceedings of COLING 2020
[PAPER] - Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou and Thien Huu Nguyen
Proceedings of EMNLP 2020
[PAPER] - Introducing a New Dataset for Event Detection in Cybersecurity Texts
Hieu Man Duc Trong, Duc Trong Le, Amir Pouran Ben Veyseh, Thuat Nguyen and Thien Huu Nguyen
Proceedings of EMNLP 2020
[PAPER] - Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks
Viet Dac Lai, Tuan Ngo Nguyen and Thien Huu Nguyen
Proceedings of EMNLP 2020
[PAPER] - Structural and Functional Decomposition for Personality Image Captioning in a Communication Game
Minh Thu Nguyen, Duy Phung, Minh Hoai and Thien Huu Nguyen
Findings of EMNLP 2020
[PAPER] - The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction
Hieu Minh Tran, Minh Trung Nguyen and Thien Huu Nguyen
Findings of EMNLP 2020
[PAPER] - Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction
Amir Pouran Ben Veyseh, Tuan Ngo Nguyen and Thien Huu Nguyen
Findings of EMNLP 2020
[PAPER] - Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou and Thien Huu Nguyen
Findings of EMNLP 2020
[PAPER] - Bag of Biterms Modeling for Short Texts
Anh Tuan Phan, Bach Tran, Thien Huu Nguyen, Linh Van Ngo and Khoat Than
Knowledge and Information Systems Journal (KAIS) 2020
[PAPER] - Improving Slot Filling by Utilizing Contextual Information
Amir Pouran Ben Veyseh, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of the 2nd NLP for Conversational AI Workshop (ConvAI) at ACL 2020, Seattle, USA, July 2020
[PAPER] - Extensively Matching for Few-shot Learning Event Detection
Viet Lai, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events (NUSE) at ACL 2020, Seattle, USA, July 2020
[PAPER] - Exploiting the Syntax-Model Consistency for Neural Relation Extraction
Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou and Thien Huu Nguyen
Proceedings of ACL 2020, Seattle, USA, July 2020
[PAPER] - Exploiting the Matching Information in the Support Set for Few Shot Event Classification
Viet Lai, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), Singapore, May, 2020
[PAPER] - Learning to Select Important Context Words for Event Detection
Nghia Ngo, Tuan Ngo Nguyen and Thien Huu Nguyen
Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), Singapore, May, 2020
[PAPER] - Multi-view Consistency for Relation Extraction via Mutual Information and Structure Prediction
Amir Pouran Ben Veyseh, Franck Dernoncourt, My Thai, Dejing Dou and Thien Huu Nguyen
Proceedings of AAAI 2020, New York, USA, February 2020
[PAPER] - A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou and Thien Huu Nguyen
Proceedings of AAAI 2020, New York, USA, February 2020
[PAPER] - Multi-task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation
Duong Minh Le, My Thai and Thien Huu Nguyen
Proceedings of AAAI 2020, New York, USA, February 2020
[PAPER]
2019
- On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
Tuan Ngo Nguyen, Franck Dernoncourt and Thien Huu Nguyen
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019) at EMNLP 2019
[PAPER] - Extending Event Detection to New Types with Learning from Keywords
Viet Lai and Thien Huu Nguyen
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019) at EMNLP 2019
[PAPER] - Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies
Qiuhao Lu, Nisansa de Silva, Sabin Kafle, Jiazhen Cao, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Brent Hailpern, Berthold Reinwald and Yunyao Li
Proceedings of the 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB 2019), New York, September 2019
[PAPER] - Rumor Detection in Social Networks via Deep Contextual Modeling
Amir Pouran Ben Veyseh, My T. Thai, Thien Huu Nguyen and Dejing Dou
Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), Vancouver, Canada, August 2019
[PAPER] - Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings
Linh The Nguyen, Linh Van Ngo, Khoat Than and Thien Huu Nguyen
Proceedings of ACL 2019, Florence, Italy, August 2019
[PAPER] - Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
Amir Pouran Ben Veyseh, Thien Huu Nguyen and Dejing Dou
Proceedings of ACL 2019, Florence, Italy, August 2019
[PAPER] - Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control
Amir Pouran Ben Veyseh, Thien Huu Nguyen and Dejing Dou
Proceedings of IJCAI 2019, Macao, China, August 2019
[PAPER] - BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen and Yoshua Bengio
Proceedings of ICLR 2019, New Orleans, Louisiana, May 2019
[PAPER] - Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries and Aaron Courville
Proceedings of ICLR 2019, New Orleans, Louisiana, May 2019
[PAPER] - One for All: Neural Joint Modeling of Entities and Events
Trung Minh Nguyen and Thien Huu Nguyen
Proceedings of AAAI 2019, Honolulu, Hawaii, January 2019
[PAPER]
2018
- A Case Study on Learning a Unified Encoder of Relations
Lisheng Fu, Bonan Min, Thien Huu Nguyen and Ralph Grishman
Proceedings of the 4th Workshop on Noisy User-generated Text (W-NUT 2018) at EMNLP 2018
[PAPER] - Similar but not the Same: Word Sense Disambiguation Improves Event Detection via Neural Representation Matching
Weiyi Lu and Thien Huu Nguyen
Proceedings of EMNLP 2018, Brussels, Belgium, November 2018
[PAPER] - Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs
Minh Nguyen and Thien Huu Nguyen
Proceedings of COLING 2018, Santa Fe, New-Mexico, August 2018
[PAPER] - A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing
Minh Nguyen, Toan Nguyen and Thien Huu Nguyen
International Workshop on Security and Privacy Analytics - Anti Phishing Shared Task (IWSPA-AP), March 2018
[PAPER] - Graph Convolutional Networks with Argument-Aware Pooling for Event Detection
Thien Huu Nguyen and Ralph Grishman
Proceedings of AAAI 2018, New Orleans, Lousiana, February 2018
[PAPER] - Deep Learning for Information Extraction
Thien Huu Nguyen
Ph.D. Thesis, New York University, January 2018.
[PAPER]
2017
- Domain Adaptation for Relation Extraction with Domain Adversarial Neural Networks
Lisheng Fu, Thien Huu Nguyen, Bonan Min and Ralph Grishman
Proceedings of IJCNLP 2017, Taipei, Taiwan, November 2017
[PAPER]
2016
- New York University 2016 System for KBP Event Nugget: A Deep Learning Approach
Thien Huu Nguyen, Adam Meyers and Ralph Grishman
Proceedings of Text Analysis Conference (TAC), Gaithersburg, Maryland, USA, November 2016
[PAPER] - Joint Learning of Local and Global Features for Entity Linking via Neural Networks
Thien Huu Nguyen, Nicolas Fauceglia, Mariano Rodriguez Muro, Oktie Hassanzadeh, Alfio Massimiliano Gliozzo and Mohammad Sadoghi
Proceedings of COLING 2016, Osaka, Japan, December 2016
[PAPER] - Modeling Skip-Grams for Event Detection with Convolutional Neural Networks
Thien Huu Nguyen and Ralph Grishman
Proceedings of EMNLP 2016, Austin, Texas, November 2016
[PAPER] - Joint Event Extraction via Recurrent Neural Networks
Thien Huu Nguyen, Kyunghyun Cho and Ralph Grishman
Proceedings of NAACL 2016, San Diego, June 2016
[PAPER][CODE] - A Two-stage Approach for Extending Event Detection to New Types via Neural Networks
Thien Huu Nguyen, Lisheng Fu, Kyunghyun Cho and Ralph Grishman
Proceedings of ACL Workshop on Representation Learning for NLP, Berlin, Germany, 2016
[PAPER] - Combining Neural Networks and Log-linear Models to Improve Relation Extraction
Thien Huu Nguyen and Ralph Grishman
Proceedings of IJCAI Workshop on Deep Learning for Artificial Intelligence, New York, USA, 2016
[PAPER][CODE] - Toward Mention Detection Robustness with Recurrent Neural Networks
Thien Huu Nguyen, Avirup Sil, Georgiana Dinu, and Radu Florian
Proceedings of IJCAI Workshop on Deep Learning for Artificial Intelligence, New York, USA, 2016
[PAPER]
2015
- Improving Event Detection with Abstract Meaning Representation
Xiang Li, Thien Huu Nguyen, Kai Cao, and Ralph Grishman
Proceedings of ACL-IJCNLP Workshop on Computing News Storylines (CNewS 2015), Beijing, China, July, 2015
[PAPER] - Event Detection and Domain Adaptation with Convolutional Neural Networks
Thien Huu Nguyen and Ralph Grishman
Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 2015
[PAPER] - Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
Thien Huu Nguyen, Barbara Plank and Ralph Grishman
Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 2015
[PAPER][CODE] - Relation Extraction: Perspective from Convolutional Neural Networks
Thien Huu Nguyen and Ralph Grishman
Proceedings of NAACL Workshop on Vector Space Modeling for NLP, Denver, Colorado, June, 2015
[PAPER][CODE]
2014
- New York University 2014 Knowledge Base Population Systems
Thien Huu Nguyen, Yifan He, Maria Pershina, Xiang Li, and Ralph Grishman
Proceedings of Text Analysis Conference (TAC), Gaithersburg, Maryland, USA, November 2014
[PAPER] - Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
Thien Huu Nguyen and Ralph Grishman
Proceedings of ACL 2014, Baltimore, Maryland, USA, June 2014
[PAPER]
2013 and before
- Combining Proper Name-Coreference with Conditional Random Fields for Semi-supervised Named Entity Recognition in Vietnamese Text
Rathany Chan Sam, Huong Thanh Le, Thuy Thanh Nguyen, and Thien Huu Nguyen
Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Shenzhen, China, May, 2011
[PAPER]