Leonardo Neves

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 63

Top Topics

Natural Language

Partially Supervised

Top Venues

Publications

Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch
USE: Dynamic User Modeling with Stateful Sequence Models. CoRR (2024)
Diego Gómez-Zará, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos
Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data. Comput. Hum. Behav. 150 (2024)
Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. SIGIR (2024)
Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. CoRR (2024)
Daniel Loureiro, Kiamehr Rezaee, Talayeh Riahi, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados
Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter. CoRR (2023)
Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. CoRR (2023)
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. EMNLP (Findings) (2023)
Shuguang Chen, Leonardo Neves, Thamar Solorio
Context-aware Adversarial Attack on Named Entity Recognition. CoRR (2023)
Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos
Predicting Future Location Categories of Users in a Large Social Platform. ICWSM (2023)
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. CoRR (2023)
Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. SemEval@ACL (2023)
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados
TimeLMs: Diachronic Language Models from Twitter. CoRR (2022)
Shuguang Chen, Leonardo Neves, Thamar Solorio
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition. CoRR (2022)
Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri
Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? ICWSM (2022)
Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab, Isabella A. White, Gabriel Wong, Luis Espinosa Anke, Leonardo Neves, Francesco Barbieri, José Camacho-Collados
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media. CoRR (2022)
Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab, Isabella A. White, Gabriel Wong, Luis Espinosa Anke, Leonardo Neves, Francesco Barbieri, José Camacho-Collados
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media. COLING (2022)
Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Leonardo Neves, Vítor Silva, Francesco Barbieri
Twitter Topic Classification. CoRR (2022)
Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Vítor Silva, Leonardo Neves, Francesco Barbieri
Twitter Topic Classification. COLING (2022)
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados
TimeLMs: Diachronic Language Models from Twitter. ACL (demo) (2022)
Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. CoRR (2022)
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
TweetNLP: Cutting-Edge Natural Language Processing for Social Media. CoRR (2022)
Asahi Ushio, Leonardo Neves, Vítor Silva, Francesco Barbieri, José Camacho-Collados
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. CoRR (2022)
Shuguang Chen, Leonardo Neves, Thamar Solorio
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition. EMNLP (2022)
Asahi Ushio, Francesco Barbieri, Vítor Silva, Leonardo Neves, José Camacho-Collados
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. AACL/IJCNLP (1) (2022)
Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
Data Augmentation for Cross-Domain Named Entity Recognition. CoRR (2021)
Shuguang Chen, Leonardo Neves, Thamar Solorio
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp. CoRR (2021)
Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
Can images help recognize entities? A study of the role of images for Multimodal NER. W-NUT (2021)
Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos
AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. CHI (2021)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. AAAI (2021)
Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. NAACL-HLT (2021)
Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah
NED: Niche Detection in User Content Consumption Data. CIKM (2021)
Omar Jiménez, Miguel Angel Solís-Prosser, Leonardo Neves, Aldo Delgado
Mutual Information and Quantum Discord in Quantum State Discrimination with a Fixed Rate of Inconclusive Outcomes. Entropy 23 (1) (2021)
Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. ICWSM (2021)
Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
Data Augmentation for Cross-Domain Named Entity Recognition. EMNLP (1) (2021)
Shuguang Chen, Leonardo Neves, Thamar Solorio
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp. SocialNLP@NAACL (2021)
Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
A Caption Is Worth A Thousand Images: Investigating Image Captions for Multimodal Named Entity Recognition. CoRR (2020)
Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. COLING (2020)
Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. WWW (2020)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. CoRR (2020)
Francesco Barbieri, José Camacho-Collados, Leonardo Neves, Luis Espinosa Anke
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. CoRR (2020)
Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah
Social Factors in Closed-Network Content Consumption. CIKM (2020)
Xisen Jin, Francesco Barbieri, Aida Mostafazadeh Davani, Brendan Kennedy, Leonardo Neves, Xiang Ren
Efficiently Mitigating Classification Bias via Transfer Learning. CoRR (2020)
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. CoRR (2020)
Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. CoRR (2020)
Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso
Adding domain data to code profiling tools to debug workflow parallel execution. Future Gener. Comput. Syst. 110 (2020)
Francesco Barbieri, José Camacho-Collados, Luis Espinosa Anke, Leonardo Neves
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. EMNLP (Findings) (2020)
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
Learning from Explanations with Neural Execution Tree. ICLR (2020)
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. ACL (demo) (2020)
Lahari Poddar, Leonardo Neves, William Brendel, Luís Marujo, Sergey Tulyakov, Pradeep Karuturi
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. NAACL-HLT (2) (2019)
Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren
Neural Rule Grounding for Low-Resource Relation Extraction. CoRR (2019)
Lahari Poddar, Leonardo Neves, William Brendel, Luís Marujo, Sergey Tulyakov, Pradeep Karuturi
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. CoRR (2019)
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. CoRR (2019)
Omar Jiménez, Miguel Angel Solís-Prosser, Leonardo Neves, Aldo Delgado
Quantum Discord, Thermal Discord, and Entropy Generation in the Minimum Error Discrimination Strategy. Entropy 21 (3) (2019)
Seungwhan Moon, Leonardo Neves, Vitor Carvalho
Multimodal Named Entity Recognition for Short Social Media Posts. CoRR (2018)
Seungwhan Moon, Leonardo Neves, Vitor Carvalho
Multimodal Named Entity Recognition for Short Social Media Posts. NAACL-HLT (2018)
Seungwhan Moon, Leonardo Neves, Vitor Carvalho
Multimodal Named Entity Disambiguation for Noisy Social Media Posts. ACL (1) (2018)
Leonardo Neves, Graciana Puentes
Photonic Discrete-time Quantum Walks and Applications. Entropy 20 (10) (2018)
Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji
Visual Attention Model for Name Tagging in Multimodal Social Media. ACL (1) (2018)
Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze
Visual features for context-aware speech recognition. ICASSP (2017)
Roger A. Kögler, Leonardo Neves
Optimal probabilistic dense coding schemes. Quantum Inf. Process. 16 (4) (2017)
Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze
Visual Features for Context-Aware Speech Recognition. CoRR (2017)
Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. WORKS@SC (2016)
Yun Wang, Leonardo Neves, Florian Metze
Audio-based multimedia event detection using deep recurrent neural networks. ICASSP (2016)