Kemal Kurniawan

Orcid: 0000-0002-4231-4310

According to our database1, Kemal Kurniawan authored at least 11 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages.
CoRR, 2022

Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2019
KaWAT: A Word Analogy Task Dataset for Indonesian.
CoRR, 2019

2018
Indosum: A New Benchmark Dataset for Indonesian Text Summarization.
Proceedings of the 2018 International Conference on Asian Language Processing, 2018

Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging.
Proceedings of the 2018 International Conference on Asian Language Processing, 2018

Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts.
Proceedings of the 4th Workshop on Noisy User-generated Text, 2018

Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus.
Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP, 2018


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