| A Multi-task Approach for Named Entity Recognition in Social Media Data G Aguilar, S Maharjan, APL Monroy, T Solorio Proceedings of the 3rd Workshop on Noisy User-generated Text, 148-153, 2017 | 220 | 2017 |
| Knowledge Distillation from Internal Representations G Aguilar, Y Ling, Y Zhang, B Yao, X Fan, C Guo Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020 | 215 | 2020 |
| SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets P Patwa, G Aguilar, S Kar, S Pandey, S PYKL, B Gambäck, T Chakraborty, ... Proceedings of the 14th International Workshop on Semantic Evaluation …, 2020 | 190 | 2020 |
| LinCE: A centralized benchmark for linguistic code-switching evaluation G Aguilar, S Kar, T Solorio Proceedings of The 12th Language Resources and Evaluation Conference, 1803--1813, 2020 | 123 | 2020 |
| Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task G Aguilar, F AlGhamdi, V Soto, M Diab, J Hirschberg, T Solorio Proceedings of the Third Workshop on Computational Approaches to Linguistic …, 2018 | 108* | 2018 |
| Modeling Noisiness to Recognize Named Entities Using Multitask Neural Networks on Social Media G Aguilar, AP López-Monroy, FA González, T Solorio Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 61 | 2018 |
| Multimodal and Multi-view Models for Emotion Recognition G Aguilar, V Rozgic, W Wang, C Wang Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 54 | 2019 |
| Data augmentation for cross-domain named entity recognition S Chen, G Aguilar, L Neves, T Solorio arXiv preprint arXiv:2109.01758, 2021 | 51 | 2021 |
| From English to Code-Switching: Transfer Learning with Strong Morphological Clues G Aguilar, T Solorio Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 51 | 2020 |
| Can images help recognize entities? A study of the role of images for Multimodal NER S Chen, G Aguilar, L Neves, T Solorio arXiv preprint arXiv:2010.12712, 2020 | 37 | 2020 |
| Char2subword: Extending the subword embedding space using robust character compositionality G Aguilar, B McCann, T Niu, N Rajani, N Keskar, T Solorio Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 28* | 2021 |
| Calcs 2021 shared task: Machine translation for code-switched data S Chen, G Aguilar, A Srinivasan, M Diab, T Solorio arXiv preprint arXiv:2202.09625, 2022 | 20 | 2022 |
| Dependency-Aware Named Entity Recognition with Relative and Global Attentions G Aguilar, T Solorio preprint arXiv:1909.05166, 2019 | 11 | 2019 |
| End-to-end fine-grained neural entity recognition of patients, interventions, outcomes A Dhrangadhariya, G Aguilar, T Solorio, R Hilfiker, H Müller International Conference of the Cross-Language Evaluation Forum for European …, 2021 | 9 | 2021 |
| A vocabulary-free multilingual neural tokenizer for end-to-end task learning MM Islam, G Aguilar, P Ponnusamy, CS Mathialagan, C Ma, C Guo arXiv preprint arXiv:2204.10815, 2022 | 8* | 2022 |
| Multi-view story characterization from movie plot synopses and reviews S Kar, G Aguilar, M Lapata, T Solorio Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 8* | 2020 |
| A caption is worth a thousand images: Investigating image captions for multimodal named entity recognition S Chen, G Aguilar, L Neves, T Solorio arXiv preprint arXiv:2010.12712, 2020 | 4 | 2020 |
| Self-aware feedback-based self-learning in large-scale conversational AI P Ponnusamy, CS Mathialagan, G Aguilar, C Ma, C Guo arXiv preprint arXiv:2205.00029, 2022 | 3 | 2022 |
| Proceedings of the third workshop on computational approaches to linguistic code-switching G Aguilar, F AlGhamdi, V Soto, T Solorio, M Diab, J Hirschberg Proceedings of the Third Workshop on Computational Approaches to Linguistic …, 2018 | 3 | 2018 |
| Multiple classifications of audio data G Aguilar, V Rozgic, C Wang US Patent App. 16/429,689, 2021 | 2* | 2021 |
Thamar SolorioMBZUAI & University of HoustonEmail verificata su uh.edu