Mongabay: First Indonesian Weak Supervised Dataset

Recently, at The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023), Datasaur contributed a paper introducing a weakly supervised dataset developed using our Data Programming methodology.

This experiment delves into the operational details of Data Programming’s role in refining NLP dataset creation. Explore the functionality of our algorithms and the adaptable nature of our Python code templates, all in within our easy-to-use interactive editor. It comprehensively illustrates how Data Programming optimizes efficiency and reliability in NLP labeling techniques. Access the complete paper now for an in-depth exploration of our innovative approach.

‍Download the paper here.