QG for MRC首先由Mitkov使用基于规则的模型来解决,在最近几年的DL模型中,由于从文本到问题的转换是一对多的转换,一个文本可以提出许多不同方面的问题,这使得模型难以得到自动评估,因此《Neural Question Generation from Text: A Preliminary Study》假设答案是文本中的连续片段,一个答案生成一个问题,之后,有人提出了...
[Du and Cardie, 2017] Identifying Where to Focus in Reading Comprehension for Neural Question Generation [Du et al., 2017] Learning to Ask: Neural Question Generation for Reading Comprehension [Zhou et al., 2017] Neural Question Generation from Text: A Preliminary Study [Tang et al., 2017] ...
另一篇将神经网络应用于 QG 的奠基工作 Neural question generation from text: A preliminary study(EMNLP 2017)在编码时额外考虑了答案位置与语法信息,取得了更好的性能。 之后到 2019 年,相关研究主要以 seq2seq 架构为基础,改变模型结构和或使用一些技巧来提升模型的性能,具体包括以下几个方面。 答案编码 将答案...
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(1976). Automatic question generation from text - an aid to independent study. SIGCUE Outlook, Proceedings of the SIGCSE-SIGCUE joint symposium on Computer science education, 10(SI), 104-112.Wolfe J." Automatic question generation from text-an aid to independent study". In ACM SIGCUE ...
This repository contains code for the paper "Neural Question Generation from Text: A Preliminary Study" About this code The experiments in the paper were done with an in-house deep learning tool. Therefore, we re-implement this with PyTorch as a reference. This code only implements the setting...
Automatic Factual Question Generation from TextTextBlob: Simplified Text ProcessingAutomatic Question Generation from ParagraphK2Q: Generating Natural Language Questions from Keywords with User RefinementsInfusing NLU into Automatic Question GenerationLiterature Review of Automatic Question Generation Systems...
So, there arises a need for automatic question generation. Basically, Question Generation from text is a Natural Language Processing task combining Natural ... DS Vibhandik,RC Samant 被引量: 0发表: 0年 Automatic question generation from natural text A mechanism is provided for generating a natu...
于是本文提出了用sequence-to-sequence模型来解决问题,即像机器翻译一样,把raw text看成是源语言,把question看成是目标语言,然后相当于是进行翻译。 1.1 推荐历史阅读 Lucy Vanderwende. 2008. The importance of being important: Question generation.https://www.microsoft.com/en-us/research/wp-content/uploads/...
Text-to-text generation for question answering In this chapter, we describe our efforts in text-to-text generation within the IMOGEN project. In particular, we describe two focus areas of research to improve the quality of the answer: (a) graph-based content selection to improve the ... W...