cdqa.hku.hk
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1. Google Colab
Link: https://colab.research.google.com/github/cdqa-suite/cdQA/blob/master/examples/tutorial-first-steps-cdqa.ipynb
Description: WEBThis notebook shows how to use the cdQA pipeline to perform question answering on a custom dataset. Note: If you are using colab, you will need to …
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2. cdQA: Closed Domain Question Answering - GitHub Pages
Link: https://cdqa-suite.github.io/cdQA-website/
Description: WEBA complete suite. Everything you need to build a closed domain question answering system. Python Library. User Interface. Annotator. Convert your …
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3. How to create your own Question-Answering system easily with pyth…
Link: https://towardsdatascience.com/how-to-create-your-own-question-answering-system-easily-with-python-2ef8abc8eb5
Description: WEBJul 7, 2019 · The cdQA-suite is comprised of three blocks:. cdQA: an easy-to-use python package to implement a QA pipeline; cdQA-annotator: a tool built …
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4. Idmeneo-cdQa · PyPI
Link: https://pypi.org/project/Idmeneo-cdQa/
Description: WEBMar 31, 2020 · cdQA: Closed Domain Question Answering. An End-To-End Closed Domain Question Answering System. Built on top of the …
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5. cdQA: Closed Domain Question Answering - GitHub
Link: https://github.com/cdqa-suite/cdQA/blob/master/README.md
Description: WEB\n With converters \n. The objective of cdqa converters is to make it easy to create this dataframe from your raw documents database. For instance the …
