G-Asks is a question generation system, developed by LATTE(Learning and Affect Technologies Engineering) research group at The University of Sydney. It uses Natural Language Processing techniques and Machine learning algorithms to generate specific trigger questions. If you use this software in a publication, please cite the paper 2.
1.Ming Liu and Rafael A. Calvo (2012) “Using Information Extraction to Generate Trigger Question for Academic Writing Support”, 11th International Conference on Intelligent Tutoring Systems, Crete, Springer LNCS 7315, p.360-369.
2.Ming Liu, Rafael A. Calvo, Anindito Aditomo and Luiz Augusto Pizzato (2012), “Using Wikipedia and Conceptual Graph Structures to Generate Questions for Academic Writing Support”, IEEE Transactions on Learning Technologies, vol. 5, no. 3, pp. 251-263.

Features

  • Standard Text Processing Features: Sentence Parsing, Splitting and Simplifying
  • Question Generation Rules
  • Statistical Question Ranker
  • Wikipedia Integration

Project Activity

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Categories

Artificial Intelligence, Natural Language Processing (NLP)

License

Apache License V2.0

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Additional Project Details

Intended Audience

Information Technology

Programming Language

Java

Database Environment

MySQL

Related Categories

Java Artificial Intelligence Software, Java Natural Language Processing (NLP) Tool

Registered

2011-01-31
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