João Paulo Aires

Orcid: 0000-0001-6947-5766

According to our database1, João Paulo Aires authored at least 24 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Sentence representations for semantic textual similarity: A systematic review.
Comput. Speech Lang., 2026

2023
Negative Lexical Constraints in Neural Machine Translation.
Proceedings of Machine Translation Summit XIX, 2023

2021
CUNI Systems for WMT21: Terminology Translation Shared Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

Active Methodologies in Incoming Programming Classes (Short Paper).
Proceedings of the Second International Computer Programming Education Conference, 2021

End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Norm Conflict Identification Using a Convolutional Neural Network.
Proceedings of the Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII, 2020

2019
Companion code for paper Classification of Contractual Conflicts via Learning of Semantic Representations.
Dataset, February, 2019

Companion Dataset for paper Classification of Contractual Conflicts via Learning of Semantic Representations.
Dataset, February, 2019

Automatic reasoning over contract clauses
PhD thesis, 2019

Classifying Norm Conflicts using Learned Semantic Representations.
CoRR, 2019

Automating News Summarization with Sentence Vectors Offset.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Classification of Contractual Conflicts via Learning of Semantic Representations.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

ConCon: A Contract Conflict Identifier.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Improving Action Recognition using Temporal Regions.
J. Inf. Data Manag., 2018

LSTM-Based Goal Recognition in Latent Space.
CoRR, 2018

Evaluating the Feasibility of Deep Learning for Action Recognition in Small Datasets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Goal Recognition in Latent Space.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Deep Learning Approach to Classify Aspect-Level Sentiment using Small Datasets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Norm Conflict Identification using Vector Space Offsets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Norm conflict identification in contracts.
Artif. Intell. Law, 2017

Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Norm Conflict Identification Using Deep Learning.
Proceedings of the Autonomous Agents and Multiagent Systems, 2017

A Deep Learning Approach for Norm Conflict Identification.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017


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