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SotA/Natural Language Processing/Question Generation

Question Generation

25 benchmarks664 papers

The goal of Question Generation is to generate a valid and fluent question according to a given passage and the target answer. Question Generation can be used in many scenarios, such as automatic tutoring systems, improving the performance of Question Answering models and enabling chatbots to lead a conversation.

<span class="description-source">Source: Generating Highly Relevant Questions </span>

Benchmarks

Question Generation on SQuAD1.1

BLEU-4METEORROUGE-L

Question Generation on WeiboPolls

ROUGE-1ROUGE-LBLEU-1BLEU-3

Question Generation on COCO Visual Question Answering (VQA) real images 1.0 open ended

BLEU-1

Question Generation on GrailQA-Compositional

METEORBLEUFactSpotter

Question Generation on GrailQA-IID

BLEUMETEORFactSpotter

Question Generation on GrailQA-Zero-Shot

METEORbleuFactSpotter

Question Generation on FairytaleQA

ROUGE-L

Question Generation on Natural Questions

QAER-QAE

Question Generation on SQuAD

QAER-QAE

Question Generation on TriviaQA

QAER-QAE

Question Generation on Visual Question Generation

BLEU-1