| Joint Event Extraction via Recurrent Neural Networks TH Nguyen, K Cho, R Grishman | 589 | 2016 |
| Relation extraction: Perspective from convolutional neural networks TH Nguyen, R Grishman Proceedings of the 1st workshop on vector space modeling for natural …, 2015 | 567 | 2015 |
| Event detection and domain adaptation with convolutional neural networks TH Nguyen, R Grishman Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 428 | 2015 |
| Graph Convolutional Networks with Argument-Aware Pooling for Event Detection TH Nguyen, R Grishman The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 327 | 2018 |
| Systematic generalization: What is required and can it be learned? D Bahdanau, S Murty, M Noukhovitch, TH Nguyen, H de Vries, A Courville arXiv preprint arXiv:1811.12889, 2018 | 166 | 2018 |
| BabyAI: First steps towards grounded language learning with a human in the loop M Chevalier-Boisvert, D Bahdanau, S Lahlou, L Willems, C Saharia, ... International Conference on Learning Representations 105, 2019 | 137 | 2019 |
| Babyai: A platform to study the sample efficiency of grounded language learning M Chevalier-Boisvert, D Bahdanau, S Lahlou, L Willems, C Saharia, ... arXiv preprint arXiv:1810.08272, 2018 | 136 | 2018 |
| Modeling skip-grams for event detection with convolutional neural networks TH Nguyen, R Grishman Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 131 | 2016 |
| One for all: Neural joint modeling of entities and events TM Nguyen, TH Nguyen Proceedings of the AAAI conference on artificial intelligence 33 (01), 6851-6858, 2019 | 120 | 2019 |
| Combining neural networks and log-linear models to improve relation extraction TH Nguyen, R Grishman arXiv preprint arXiv:1511.05926, 2015 | 102 | 2015 |
| Employing word representations and regularization for domain adaptation of relation extraction TH Nguyen, R Grishman Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 97 | 2014 |
| Recent advances in natural language processing via large pre-trained language models: A survey B Min, H Ross, E Sulem, APB Veyseh, TH Nguyen, O Sainz, E Agirre, ... arXiv preprint arXiv:2111.01243, 2021 | 76 | 2021 |
| Trankit: A light-weight transformer-based toolkit for multilingual natural language processing M Van Nguyen, VD Lai, APB Veyseh, TH Nguyen arXiv preprint arXiv:2101.03289, 2021 | 70 | 2021 |
| Event detection: Gate diversity and syntactic importance scoresfor graph convolution neural networks VD Lai, TN Nguyen, TH Nguyen arXiv preprint arXiv:2010.14123, 2020 | 68 | 2020 |
| Domain adaptation for relation extraction with domain adversarial neural network L Fu, TH Nguyen, B Min, R Grishman Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 63 | 2017 |
| Improving event detection with abstract meaning representation X Li, TH Nguyen, K Cao, R Grishman Proceedings of the first workshop on computing news storylines, 11-15, 2015 | 57 | 2015 |
| New York University 2016 System for KBP Event Nugget: A Deep Learning Approach TH Nguyen, A Meyers, R Grishman | 56 | 2016 |
| Extensively matching for few-shot learning event detection VD Lai, F Dernoncourt, TH Nguyen arXiv preprint arXiv:2006.10093, 2020 | 49 | 2020 |
| Joint Learning of Local and Global Features for Entity Linking via Neural Networks TH Nguyen, N Fauceglia, MR Muro, O Hassanzadeh, AM Gliozzo, ... The 26th International Conference on Computational Linguistics (COLING 2016), 2016 | 49 | 2016 |
| A two-stage approach for extending event detection to new types via neural networks TH Nguyen, L Fu, K Cho, R Grishman Proceedings of the 1st Workshop on Representation Learning for NLP, 158-165, 2016 | 46 | 2016 |
Franck DernoncourtNLP/ML Researcher. MIT PhD.Verified email at adobe.com
