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Leonardo Neves

Observed names: Leonardo Brigido Metello Neves, Leonardo Brígido Metello Neves, Leonardo Metello Brigido Neves, Metello Neves, Leonardo Brigido, MetelloNeves, Leonardo Brigido, Neves, Leonardo
Observed institutions: University of Southern California, Universidade Federal do Rio de Janeiro, Universidade de São Paulo, Santa Casa de Misericórdia de Marília, Santa Casa de Misericórdia de Passos, Estácio (Brazil), Snap (United States), Fundação de Amparo à Pesquisa do Estado de Mato Grosso, University of Houston, Carnegie Mellon University, Cardiff University
ORCID: 0000-0002-3857-0522
Observed ORCID: 0000-0002-3857-0522
OpenAlex ID: A5113916937
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
2020 · Francesco Barbieri, Jose Camacho-Collados, et al. · 712
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Data Augmentation for Graph Neural Networks
2021 · Tong Zhao, Yozen Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 371
Visual Attention Model for Name Tagging in Multimodal Social Media
2018 · Di Lu, Leonardo Neves, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 321
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Multimodal Named Entity Recognition for Short Social Media Posts
2018 · Seungwhan Moon, Leonardo Neves, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 216
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Multimodal Named Entity Disambiguation for Noisy Social Media Posts
2018 · Seungwhan Moon, Leonardo Neves, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 101
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Audio-based multimedia event detection using deep recurrent neural networks
2016 · Yun Wang, Leonardo Neves, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 74
Data Augmentation for Cross-Domain Named Entity Recognition
2021 · Shuguang Chen, Gustavo Aguilar, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 47
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Can images help recognize entities? A study of the role of images for Multimodal NER
2021 · Shuguang Chen, Gustavo Aguilar, et al. · Workshop on Noisy User-generated Text (W-NUT) · 45
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NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction
2020 · Wenxuan Zhou, Hongtao Lin, et al. · 45
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
2021 · Xisen Jin, Francesco Barbieri, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 42
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Visual features for context-aware speech recognition
2017 · Abhinav Gupta, Yajie Miao, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 38
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Learning from Explanations with Neural Execution Tree
2019 · Wang, Ziqi, Qin, Yujia, et al. · arXiv (Cornell University) · 30
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LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
2020 · Dong-Ho Lee, Rahul Khanna, et al. · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) · 20
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AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media
2021 · Koustuv Saha, Yozen Liu, et al. · CHI Conference on Human Factors in Computing Systems · 19
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering
2019 · Lahari Poddar, Leonardo Neves, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 16
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CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms
2021 · Farhan Asif Chowdhury, Yozen Liu, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 12
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The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks
2020 · Brihi Joshi, Neil Shah, et al. · International Conference on Computational Linguistics · 12
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Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media?
2022 · Julie Jiang, Nils Murrugara-Llerena, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 10
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Adding domain data to code profiling tools to debug workflow parallel execution
2018 · Vítor Silva, Leonardo Neves, et al. · Future Generation Computer Systems · 10
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
2023 · Dimosthenis Antypas, Asahi Ushio, et al. · 9
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Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows.
2016 · Vítor Silva, Leonardo Neves, et al. · 9
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts
2022 · Asahi Ushio, Francesco Barbieri, et al. · Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP) · 8
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Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
2021 · Shuguang Chen, Leonardo Neves, et al. · 5
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Unpacking the exploration–exploitation tradeoff on Snapchat: The relationships between users’ exploration–exploitation interests and server log data
2023 · Diego Gómez-Zará, Yozen Liu, et al. · Computers in Human Behavior · 4
Efficiently Mitigating Classification Bias via Transfer Learning.
2020 · Xisen Jin, Francesco Barbieri, et al. · arXiv (Cornell University) · 4
Works count: 53
Citation count: 2,205
H-index: 15
I10-index: 19
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