| 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 | 76 | 2017 |
| 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 | 53 | 2016 |
| An efficient active learning framework for new relation types L Fu, R Grishman Proceedings of the Sixth International Joint Conference on Natural Language …, 2013 | 25 | 2013 |
| Learning relatedness between types with prototypes for relation extraction L Fu, R Grishman Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 5 | 2021 |
| A case study on learning a unified encoder of relations L Fu, B Min, TH Nguyen, R Grishman Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018 | 3 | 2018 |
| Improving natural language understanding accuracy by pre-adapting to live traffic L Fu, K Arkoudas | | 2021 |
| Enhanced Representations for Relations by Multi-task Learning L Fu New York University, 2020 | | 2020 |
| Distantly Supervised Attribute Detection from Reviews L Fu, P Barrio Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018 | | 2018 |
