We propose to automatically predict the question type based on the input answer and context. Then, the question type is fused into a seq2seq model to guide the ...
Aug 31, 2019 · Abstract:Question generation is a challenging task which aims to ask a question based on an answer and relevant context.
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Aug 31, 2019 · The question type is fused into a seq2seq model to guide the question generation, so as to deal with the mismatching problem and significant ...
Jan 28, 2022 · In this article, we present a novel method to improve question generation with a question type enhanced representation and attention-based copy ...
We propose to automatically predict the question type based on the input answer and context. Then, the question type is fused into a seq2seq model to guide the ...
In this paper, we propose two new strategies to deal with this task: question type prediction and copy loss mechanism. The question type module is to predict ...
Automatic Question Generation (QG) aims at generating grammatical questions for a given text, which is receiving an increasing research interest in the NLP ...
In this paper, we propose a question type driven framework to produce multiple questions for a given image with different focuses. In our framework, each ...
The new copy loss enhances the original copy mechanism to make sure that every important word in the source sentence has been copied when generating questions.
This paper introduces QG-Net, a recurrent neural network-based model specifically designed for automatically generating quiz questions from educational content ...