The project Automatic Research Question Generation (ARQG) is an initial step towards dealing with the Automatic Idea Generation (AIG) fundamental question: what are the most fruitful questions that might be asked before a novel idea can be formed? Automatic Question Generation (AQG) has been studied before but typically deals with simple questions having single and short factual answers. ARQG is substantially different in that answers to research questions might not yet exist, can be long, and are often indefinite, requiring knowledge from different domains. If we can ask the right question, it might be the one that, in attempting to answer it, leads to the fertile idea. If we can derive useful research questions from a data set, then this might provide foundational material upon which to work towards the goal of AIG across disparate knowledge domains. A training set, from a single knowledge domain and comprising abstracts and human-identified research questions and key words/phrases supporting the questions, will be used to train an artificial neural network, following which, the network will be assessed on its generation of research questions from unseen abstracts.
|Effective start/end date||01/10/2022 → 01/10/2023|
- Machine Learning
- Artificial Intelligence
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