Табиғи Сұрақтар Деректер Жиынтығы
material
ID: naturalquestionsdataset
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A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections
AbstractQuestion answering (QA) systems for large document collections typically use pipelines that (i) retrieve possibly relevant documents, (ii) re-rank them, (iii) rank paragraphs or other snippets of the top-ranked documents, …...
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering
AbstractMany Question-Answering (QA) datasets contain unanswerable questions, but their treatment in QA systems remains primitive. Our analysis of the Natural Questions (Kwiatkowski et al. 2019) dataset reveals that a substantial …...
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AbstractQuestion answering models commonly have access to two sources of “knowledge” during inference time: (1) parametric knowledge - the factual knowledge encoded in the model weights, and (2) contextual knowledge …...