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Question Generation

23 papers with code · Natural Language Processing

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Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

7 Oct 2016facebookresearch/fairseq-py

We observe that our method consistently outperforms BS and previously proposed techniques for diverse decoding from neural sequence models.

IMAGE CAPTIONING MACHINE TRANSLATION QUESTION GENERATION TEXT GENERATION TIME SERIES

Learning to Ask: Neural Question Generation for Reading Comprehension

ACL 2017 xinyadu/nqg

We study automatic question generation for sentences from text passages in reading comprehension.

QUESTION GENERATION READING COMPREHENSION

Dual Ask-Answer Network for Machine Reading Comprehension

6 Sep 2018hanxiao/daanet

The task of question answering or question generation aims to infer an answer or a question when given the counterpart based on context.

MACHINE READING COMPREHENSION QUESTION ANSWERING QUESTION GENERATION

Evaluating Rewards for Question Generation Models

NAACL 2019 bloomsburyai/question-generation

Recent approaches to question generation have used modifications to a Seq2Seq architecture inspired by advances in machine translation.

MACHINE TRANSLATION POLICY GRADIENT METHODS QUESTION GENERATION

Machine Comprehension by Text-to-Text Neural Question Generation

WS 2017 bloomsburyai/question-generation

We propose a recurrent neural model that generates natural-language questions from documents, conditioned on answers.

QUESTION ANSWERING QUESTION GENERATION READING COMPREHENSION

Neural Question Generation from Text: A Preliminary Study

6 Apr 2017magic282/NQG

Automatic question generation aims to generate questions from a text passage where the generated questions can be answered by certain sub-spans of the given passage.

QUESTION GENERATION

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation

ICLR 2019 naver/aqm-plus

Answerer in Questioner's Mind (AQM) is an information-theoretic framework that has been recently proposed for task-oriented dialog systems.

QUESTION GENERATION

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

ACL 2016 imatge-upc/vqa-2016-cvprw

Over the past decade, large-scale supervised learning corpora have enabled machine learning researchers to make substantial advances.

MACHINE TRANSLATION QUESTION GENERATION

Leveraging Context Information for Natural Question Generation

NAACL 2018 freesunshine0316/MPQG

The task of natural question generation is to generate a corresponding question given the input passage (fact) and answer.

QUESTION GENERATION