Publications

  1. Kemal Kurniawan, Lea Frermann, Philip Schulz, and Trevor Cohn (2022). Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. In NAACL. [preprint] [code]
  2. Alham Fikri Aji, Genta Indra Winata, Fajri Koto, Samuel Cahyawijaya, Ade Romadhony, Rahmad Mahendra, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Timothy Baldwin, Jey Han Lau, and Sebastian Ruder (2022). One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia. In ACL. [preprint]
  3. Kemal Kurniawan, Lea Frermann, Philip Schulz, and Trevor Cohn (2021). PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging. In SemEval. [code]
  4. Kemal Kurniawan, Lea Frermann, Philip Schulz, and Trevor Cohn (2021). PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. In EACL. [preprint] [code] [video]
  5. Kemal Kurniawan (2019). KaWAT: A Word Analogy Task Dataset for Indonesian. [code]
  6. Kemal Kurniawan and Samuel Louvan (2018). IndoSum: A New Benchmark Dataset for Indonesian Text Summarization. In IALP. [preprint] [code]
  7. Kemal Kurniawan and Alham Fikri Aji (2018). Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging. In IALP. [preprint] [code]
  8. Kemal Kurniawan and Samuel Louvan (2018). Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts. In Proceedings of the Workshop W-NUT: The 4th Workshop on Noisy User-generated Text. [preprint]
  9. Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan, Bagas Abisena, Valdi Rachman, Alfan Farizki Wicaksono, and Rahmad Mahendra (2018). Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus. In Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. [preprint]
  10. Kemal Kurniawan (2017). Exploring Recurrent Neural Network Grammars for Parsing Low-Resource Languages. MSc thesis. University of Edinburgh, Scotland, United Kingdom. [code]