Automatic extraction of topic hierarchies based on WordNet
The aim of the research described here is the automatic generation of a topic hierarchy, using WordNet as the basis for a faceted browser interface, with a collection of 19th-century periodical texts as the test corpus. Our research was motivated by the Castanet algorithm, which was developed and successfully applied to short descriptions of documents. In our research we adapt the algorithm so that it can be applied to the full text of documents. The algorithm for the automatic generation of...[Show more]
|Collections||Digital Humanities Australasia: Building, Mapping, Connecting (2012)|
ANU Conference publications
|Brey_Automatic2012.pdf||Powerpoint presentation slides||1.63 MB||Adobe PDF|
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