Generating Instruction Automatically for the Reading Strategy of Self-Questioning

By Jack Mostow, Wei Chen. 2009

135 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Education, Question Answering & Reading Comprehension, Natural Language Generation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xinya Du
2. Ganesh Ramakrishnan
3. Vishwajeet Kumar
4. Claire Cardie
5. Yuan-Fang Li
6. Mohit Bansal
7. Junru Shao
8. Sebastian Riedel

In Developmental and Educational Psychology

1. Claire Cardie

In Question Answering & Reading Comprehension

1. Xinya Du
2. Claire Cardie

In Natural Language Generation

1. Xinya Du
2. Claire Cardie

Citations in the corpus

• Learning to Ask: Neural Question Generation for Reading Comprehension (2017, background): “A lot of research has focused on first manually constructing question templates, and then applying them to generate questions (Mostow and Chen, 2009; Lindberg et al., 2013; Mazidi and Nielsen, 2014).”
• A framework for automatic question generation from text using deep reinforcement learning (2018, background): “The basis for template-based approaches (Mostow and Chen, 2009; Hussein et al., 2014) is that a question template captures the class of context-specific questions having a common structure.”