Washington Cunha

Orcid: 0000-0002-1988-8412

According to our database1, Washington Cunha authored at least 11 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

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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