Co-Dependent Attention on SQuAD
نویسندگان
چکیده
In the realm of natural language processing, machine comprehension of textual documents is an incredibly important problem that presents various challenges and difficulties. A benchmark dataset for question answering named SQuAD is comprised of around a hundred thousand question-answer pairs, along with context paragraphs for each. The answer to each question is a span within the context, and it is the objective for the answering machine to predict this answer span.
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