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Question Generation

36 papers with code · Natural Language Processing

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Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

7 Oct 2016pytorch/fairseq

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

Unified Language Model Pre-training for Natural Language Understanding and Generation

NeurIPS 2019 microsoft/unilm

This paper presents a new Unified pre-trained Language Model (UniLM) that can be fine-tuned for both natural language understanding and generation tasks.

ABSTRACTIVE TEXT SUMMARIZATION LANGUAGE MODELLING NATURAL LANGUAGE UNDERSTANDING QUESTION ANSWERING QUESTION GENERATION TEXT GENERATION

Unified Language Model Pre-training for Natural Language Understanding and Generation

NeurIPS 2019 microsoft/unilm

This paper presents a new Unified pre-trained Language Model (UniLM) that can be fine-tuned for both natural language understanding and generation tasks.

#2 best model for Question Generation on SQuAD1.1 (using extra training data)

ABSTRACTIVE TEXT SUMMARIZATION DOCUMENT SUMMARIZATION LANGUAGE MODELLING NATURAL LANGUAGE UNDERSTANDING QUESTION ANSWERING QUESTION GENERATION TEXT GENERATION

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

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

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

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

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

13 Jan 2020microsoft/ProphetNet

In this paper, we present a new sequence-to-sequence pre-training model called ProphetNet, which introduces a novel self-supervised objective named future n-gram prediction and the proposed n-stream self-attention mechanism.

ABSTRACTIVE TEXT SUMMARIZATION QUESTION GENERATION