Question Answering through Transfer Learning
收藏DataCite Commons2026-01-07 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/23a0d95e-7426-4a96-9b8f-0a8c4244b586
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资源简介：
Question answering (QA) is a long-standing challenge in NLP, and the community has introduced several paradigms and datasets for the task over the past few years. These paradigms differ from each other in the type of questions and answers and the size of the training data, from a few hundreds to millions of examples.
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TIB创建时间：
2025-01-03
