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Liu, H. (2019). Automatic idea generation and analysis using NLP and ML techniques. Unpublished PhD thesis, University of Nottingham, United Kingdom.
Added by: Mark Grimshaw-Aagaard (8/1/22, 11:15 AM)
|Resource type: Thesis/Dissertation
BibTeX citation key: Liu2019
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|Categories: AI/Machine Learning
Creators: Brailsford, Goulding, Houghton, Liu, Maul
Publisher: University of Nottingham (United Kingdom)
"Ideas are the fundamental way in which information is conveyed in written text.
This research investigates the discovery and extraction of ideas from corpuses of
scientiic literature. There are several elements to this work: (1) the functional
definition of ideas; (2) the computation of novel ideas; (3) the representation of
ideas; (4) the construction of a ground truth dataset; and (5) the use of citations
as an idea container.
Ideas are defined as a <problem, solution> pair, where the problem and solution
Automatic idea generation was conducted using a dataset from the Journal of
A ground truth data set that contained <problem, solution> pairs was constructed
Idea analysis was studied by analyzing citations, which are considered to be containers