Generating Quiz Questions from Knowledge Graphs

By Dominic Seyler, Mohamed Yahya, Klaus Berberich. 2015

36 citations recorded by the source corpus.

Subfields: Artificial Intelligence

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. Ivan Titov
2. William L. Hamilton
3. Jure Leskovec
4. Thomas Kipf
5. Max Welling
6. Michael Sejr Schlichtkrull
7. Rianne van den Berg
8. Yoshua Bengio

Citations in the corpus

• Modeling Relational Data with Graph Convolutional Networks (2017, background): “Knowledge bases organize and store factual knowledge and enable a wide variety of applications, including question answering [41, 1, 33, 16, 2, 10] and information retrieval [21, 7, 39, 38].”
• Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model (2017, background): “Recently, Seyler et al. (2015) proposed a method to generate natural language questions from knowledge graphs given a topic of interest.”