rifkiaputri/IDK-MRC

Code & dataset for EMNLP 2022 paper: IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension

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Experimental

This project provides a unique dataset and models to help build better question-answering systems for Indonesian. It takes paragraphs of Indonesian text and a set of questions (some answerable, some not) and trains models to accurately identify answers or state when an answer isn't present in the text. This is designed for researchers and NLP practitioners working on machine reading comprehension for the Indonesian language.

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Use this if you are developing or evaluating machine reading comprehension systems for Indonesian text and need a robust dataset that includes unanswerable questions.

Not ideal if you are looking for a pre-built, ready-to-deploy question-answering application for end-users, or if your focus is on languages other than Indonesian.

natural-language-processing machine-reading-comprehension indonesian-language ai-research question-answering
No License Stale 6m No Package No Dependents
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Last pushed

Mar 20, 2023

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