Leonardo Neves
Leonardo Neves
Principal Research Engineer @ Snap Research and Teaching Fellow @ Harvard University
Verified email at - Homepage
Cited by
Cited by
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
F Barbieri, J Camacho-Collados, L Neves, L Espinosa-Anke
Findings of EMNLP, 2020
Data Augmentation for Graph Neural Networks
T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah
AAAI, 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
Multimodal named entity recognition for short social media posts
S Moon, L Neves, V Carvalho
NAACL 2018, 2018
TimeLMs: Diachronic language models from Twitter
D Loureiro, F Barbieri, L Neves, LE Anke, J Camacho-Collados
arXiv preprint arXiv:2202.03829, 2022
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
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
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
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
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
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
Twitter topic classification
D Antypas, A Ushio, J Camacho-Collados, L Neves, V Silva, F Barbieri
arXiv preprint arXiv:2209.09824, 2022
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
Data augmentation for cross-domain named entity recognition
S Chen, G Aguilar, L Neves, T Solorio
arXiv preprint arXiv:2109.01758, 2021
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
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
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
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
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
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
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