30MQA (30M Factoid Question-Answer Corpus)
Introduced by Serban et al. in Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
An enormous question answer pair corpus produced by applying a novel neural network architecture on the knowledge base Freebase to transduce facts into natural language questions.
Source: Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer CorpusPapers
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