Juuso Kalevi Kristian Eronen

Orcid: 0000-0001-9841-3652

According to our database1, Juuso Kalevi Kristian Eronen authored at least 15 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Mapping Dialectal Landscape: A Sequence-to-Sequence Approach to Japanese Dialect-to-Standard Normalization.
Mach. Learn. Knowl. Extr., 2026

Language Models Are Polyglots: Language Similarity Predicts Cross-Lingual Transfer Learning Performance.
Mach. Learn. Knowl. Extr., 2026

KIT-TIP-NLP at MultiPride: Continual Learning with Multilingual Foundation Model.
Proceedings of the 9th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2026), 2026

2025
Token and part-of-speech fusion for pretraining of transformers with application in automatic cyberbullying detection.
Nat. Lang. Process. J., 2025

2024
Initial exploration into sarcasm and irony through machine translation.
Nat. Lang. Process. J., 2024

Improving English Education in Japan: Leveraging Large Language Models for Personalized and Skill-Diverse Learning.
Proceedings of the 9th Linguistic and Cognitive Approaches To Dialog Agents Workshop, 2024

2023
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art.
Inf. Process. Manag., September, 2023

Zero-shot cross-lingual transfer language selection using linguistic similarity.
Inf. Process. Manag., May, 2023

Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity.
CoRR, 2023

2022
Transfer language selection for zero-shot cross-lingual abusive language detection.
Inf. Process. Manag., 2022

Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection.
CoRR, 2022

Exploring the Potential of Feature Density in Estimating Machine Learning Classifier Performance with Application to Cyberbullying Detection.
CoRR, 2022

Initial Study into Application of Feature Density and Linguistically-backed Embedding to Improve Machine Learning-based Cyberbullying Detection.
CoRR, 2022

2021
Improving classifier training efficiency for automatic cyberbullying detection with Feature Density.
Inf. Process. Manag., 2021

2017
Learning Deep on Cyberbullying is Always Better Than Brute Force.
Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 26th International Joint Conference on Artificial Intelligence, 2017


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