The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)
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Updated
Dec 3, 2022 - Jupyter Notebook
The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)
The code and models for "An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks" (AACL-IJCNLP 2020)
Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction
Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging (AACL'22)
AACL'2022: Unsupervised Single Document Abstractive Summarization using Semantic Units
Official implementation of "24-bit Languages" (AACL'23)
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