Sep 7, 2018 · Experimental results demonstrate that our answer separation method significantly reduces the number of improper questions which include answers.
Experimen- tal results demonstrate that our answer separation method sig- nificantly reduces the number of improper questions which include answers.
Jan 27, 2019 · Experimental results demonstrate that our answer separation method significantly reduces the number of improper questions which include answers.
In this paper, we propose answer-separated seq2seq, which better utilizes the information from both the passage and the target answer. By replacing the target ...
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Sep 7, 2018 · Experimental results demonstrate that our answer separation method significantly reduces the number of improper questions which include answers.
Implementation of <Improving Neural Question Generation Using Answer Separation> by Yanghoon Kim et al. Notice (2020.07.18). The source code still needs to ...
Apr 3, 2019 · Neural question generation (NQG) is the task of generating a question from a given passage with deep neural networks.
Jun 3, 2021 · In this work, inspired by the recent achievements of text representation, we propose to utilize linguistic information via large pre-trained ...
This paper constructs a sequence-to-sequence architecture with attention, which consists of an encoder and decoder aimed at generating coherent and relevant ...
Feb 28, 2024 · Enhancing human summaries for question-answer generation in education. ... Improving neural question generation using answer separation. In ...