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Fine-tuning reader models for Question-Answering
Jan. 18, 2022, 5:02 p.m. | /u/jamescalam
Natural Language Processing www.reddit.com
Hi all, I put together some material on fine-tuning reader models for open-domain question-answering (ODQA). ODQA is an increasingly popular approach to building more human/natural language information retrieval tools. Allowing users to store massive amounts of text data, and then search using natural language questions, it is one of the technologies that powers Google search. Reader models are the final step in an ODQA pipeline, allowing us to extract very specific answers to questions.
Let me know what you think, …
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