Leonardo Neves

According to our database, Leonardo Neves authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data.

Diego Gómez-Zará, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos

Comput. Hum. Behav., January, 2024

USE: Dynamic User Modeling with Stateful Sequence Models.

Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch

CoRR, 2024

2023

Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat.

Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch

CoRR, 2023

Context-aware Adversarial Attack on Named Entity Recognition.

Shuguang Chen, Leonardo Neves, Thamar Solorio

CoRR, 2023

Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter.

Daniel Loureiro, Kiamehr Rezaee, Talayeh Riahi, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados

CoRR, 2023

SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis.

Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Predicting Future Location Categories of Users in a Large Social Platform.

Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research.

Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis.

Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri

CoRR, 2022

TweetNLP: Cutting-Edge Natural Language Processing for Social Media.

José Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez-Cámara, Gonzalo Medina, Thomas Bührmann, Leonardo Neves, Francesco Barbieri

CoRR, 2022

Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts.

Asahi Ushio, Francesco Barbieri, Vítor Silva, Leonardo Neves, José Camacho-Collados

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media?

Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition.

Shuguang Chen, Leonardo Neves, Thamar Solorio

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media.

Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab, Isabella A. White, Gabriel Wong, Luis Espinosa Anke, Leonardo Neves, Francesco Barbieri, José Camacho-Collados

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Twitter Topic Classification.

Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Vítor Silva, Leonardo Neves, Francesco Barbieri

Proceedings of the 29th International Conference on Computational Linguistics, 2022

TimeLMs: Diachronic Language Models from Twitter.

Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Mutual Information and Quantum Discord in Quantum State Discrimination with a Fixed Rate of Inconclusive Outcomes.

Omar Jiménez, Miguel Angel Solís-Prosser, Leonardo Neves, Aldo Delgado

Entropy, 2021

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning.

Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms.

Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Data Augmentation for Cross-Domain Named Entity Recognition.

Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

NED: Niche Detection in User Content Consumption Data.

Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media.

Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Can images help recognize entities? A study of the role of images for Multimodal NER.

Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp.

Shuguang Chen, Leonardo Neves, Thamar Solorio

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021

Data Augmentation for Graph Neural Networks.

Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adding domain data to code profiling tools to debug workflow parallel execution.

Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso

Future Gener. Comput. Syst., 2020

Efficiently Mitigating Classification Bias via Transfer Learning.

Xisen Jin, Francesco Barbieri, Aida Mostafazadeh Davani, Brendan Kennedy, Leonardo Neves, Xiang Ren

CoRR, 2020

A Caption Is Worth A Thousand Images: Investigating Image Captions for Multimodal Named Entity Recognition.

Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio

CoRR, 2020

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.

Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren

CoRR, 2020

NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction.

Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning from Explanations with Neural Execution Tree.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

Proceedings of the 8th International Conference on Learning Representations, 2020

TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification.

Francesco Barbieri, José Camacho-Collados, Luis Espinosa Anke, Leonardo Neves

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks.

Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Social Factors in Closed-Network Content Consumption.

Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.

Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Quantum Discord, Thermal Discord, and Entropy Generation in the Minimum Error Discrimination Strategy.

Omar Jiménez, Miguel Angel Solís-Prosser, Leonardo Neves, Aldo Delgado

Entropy, 2019

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

CoRR, 2019

Neural Rule Grounding for Low-Resource Relation Extraction.

Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren

CoRR, 2019

Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering.

Lahari Poddar, Leonardo Neves, William Brendel, Luís Marujo, Sergey Tulyakov, Pradeep Karuturi

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Photonic Discrete-time Quantum Walks and Applications.

Leonardo Neves, Graciana Puentes

Entropy, 2018

Multimodal Named Entity Recognition for Short Social Media Posts.

Seungwhan Moon, Leonardo Neves, Vitor Carvalho

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Visual Attention Model for Name Tagging in Multimodal Social Media.

Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Multimodal Named Entity Disambiguation for Noisy Social Media Posts.

Seungwhan Moon, Leonardo Neves, Vitor Carvalho

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Optimal probabilistic dense coding schemes.

Roger A. Kögler, Leonardo Neves

Quantum Inf. Process., 2017

Visual features for context-aware speech recognition.

Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows.

Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso

Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016

Audio-based multimedia event detection using deep recurrent neural networks.

Yun Wang, Leonardo Neves, Florian Metze

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016