Leonardo Neves
Orcid: 0009-0008-9539-5100
According to our database1,
Leonardo Neves
authored at least 51 papers
between 2016 and 2024.
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Bibliography
2024
Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data.
Comput. Hum. Behav., January, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
2023
Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat.
CoRR, 2023
CoRR, 2023
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts.
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
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
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.
Entropy, 2021
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.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
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.
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.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021
Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Future Gener. Comput. Syst., 2020
A Caption Is Worth A Thousand Images: Investigating Image Captions for Multimodal Named Entity Recognition.
CoRR, 2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
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.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
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.
Entropy, 2019
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.
CoRR, 2019
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows.
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016