| TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification F Barbieri, J Camacho-Collados, L Neves, L Espinosa-Anke Findings of EMNLP, 2020 | 758 | 2020 |
| Data Augmentation for Graph Neural Networks T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah AAAI, 2020 | 420 | 2020 |
| Visual attention model for name tagging in multimodal social media D Lu, L Neves, V Carvalho, N Zhang, H Ji Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 250 | 2018 |
| TimeLMs: Diachronic language models from Twitter D Loureiro, F Barbieri, L Neves, LE Anke, J Camacho-Collados arXiv preprint arXiv:2202.03829, 2022 | 247 | 2022 |
| Multimodal named entity recognition for short social media posts S Moon, L Neves, V Carvalho NAACL 2018, 2018 | 211 | 2018 |
| Multimodal named entity disambiguation for noisy social media posts S Moon, L Neves, V Carvalho Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 117 | 2018 |
| TweetNLP: Cutting-edge natural language processing for social media J Camacho-Collados, K Rezaee, T Riahi, A Ushio, D Loureiro, D Antypas, ... arXiv preprint arXiv:2206.14774, 2022 | 99 | 2022 |
| Audio-based multimedia event detection using deep recurrent neural networks Y Wang, L Neves, F Metze 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 99 | 2016 |
| On transferability of bias mitigation effects in language model fine-tuning X Jin, F Barbieri, B Kennedy, AM Davani, L Neves, X Ren arXiv preprint arXiv:2010.12864, 2020 | 72* | 2020 |
| Nero: A neural rule grounding framework for label-efficient relation extraction W Zhou, H Lin, BY Lin, Z Wang, J Du, L Neves, X Ren Proceedings of The Web Conference 2020, 2166-2176, 2020 | 61 | 2020 |
| Visual features for context-aware speech recognition A Gupta, Y Miao, L Neves, F Metze 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 54 | 2017 |
| Twitter topic classification D Antypas, A Ushio, J Camacho-Collados, L Neves, V Silva, F Barbieri arXiv preprint arXiv:2209.09824, 2022 | 50 | 2022 |
| Data augmentation for cross-domain named entity recognition S Chen, G Aguilar, L Neves, T Solorio arXiv preprint arXiv:2109.01758, 2021 | 42 | 2021 |
| Learning from explanations with neural execution tree Z Wang, Y Qin, W Zhou, J Yan, Q Ye, L Neves, Z Liu, X Ren arXiv preprint arXiv:1911.01352, 2019 | 40 | 2019 |
| 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 | 33 | 2020 |
| Named entity recognition in Twitter: A dataset and analysis on short-term temporal shifts A Ushio, L Neves, V Silva, F Barbieri, J Camacho-Collados arXiv preprint arXiv:2210.03797, 2022 | 25 | 2022 |
| TempoWiC: An evaluation benchmark for detecting meaning shift in social media D Loureiro, A D'Souza, AN Muhajab, IA White, G Wong, LE Anke, L Neves, ... arXiv preprint arXiv:2209.07216, 2022 | 23 | 2022 |
| Advertiming matters: Examining user ad consumption for effective ad allocations on social media K Saha, Y Liu, N Vincent, FA Chowdhury, L Neves, N Shah, MW Bos Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 20 | 2021 |
| LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation DH Lee, R Khanna, BY Lin, J Chen, S Lee, Q Ye, E Boschee, L Neves, ... ACL, 2020 | 20 | 2020 |
| Train one get one free: Partially supervised neural network for bug report duplicate detection and clustering L Poddar, L Neves, W Brendel, L Marujo, S Tulyakov, P Karuturi NAACL, 2019 | 20 | 2019 |
