Washington Cunha

Orcid: 0000-0002-1988-8412

According to our database1, Washington Cunha authored at least 19 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method.
J. Interact. Syst., 2024

On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval.
Neurocomputing, 2024

A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification.
CoRR, 2024

PATopics: An automatic framework to extract useful information from pharmaceutical patents documents.
CoRR, 2024

Is it a work or leisure travel? Applying text classification to identify work-related travel on social networks.
CoRR, 2024

A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks.
CoRR, 2024

A Quantum Annealing-Based Instance Selection Approach for Transformer Fine-Tuning.
Proceedings of the 14th Italian Information Retrieval Workshop, 2024

A Quantum Annealing Instance Selection Approach for Efficient and Effective Transformer Fine-Tuning.
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024

2023
On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!".
Inf. Process. Manag., 2023

A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification.
ACM Comput. Surv., 2023

TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method.
CoRR, 2023

CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Uma Metodologia para Tratamento do Viés da Maioria em Modelos de Stacking via Identificação de Documentos Difíceis.
Proceedings of the 38th Brazilian Symposium on Databases, 2023

2022
Evaluating Topic Modeling Pre-processing Pipelines for Portuguese Texts.
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

2021
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study.
Inf. Process. Manag., 2021

2020
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling.
Inf. Process. Manag., 2020

"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

CluHTM - Semantic Hierarchical Topic Modeling based on CluWords.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020


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