Defence of Doctoral Dissertation: Christina Lioma
Dependencies: Formalising Semantic Catenae for Information Retrieval
Doctoral dissertation by Christina Lioma
Building machines that can understand text like humans is an AI-complete problem. A great deal of research has already gone into this, with astounding results, allowing everyday people to discuss with their telephones, or have their reading materials analysed and classified by computers. A prerequisite for processing text semantics, common to the above examples, is having some computational representation of text as an abstract object. Operations on this representation practically correspond to making semantic inferences, and by extension simulating understanding text. The complexity and granularity of semantic processing that can be realised is constrained by the mathematical and computational robustness, expressiveness, and rigour of the tools used.
This dissertation contributes a series of such tools, diverse in their mathematical formulation, but common in their application to model semantic inferences when machines process text. These tools are principally expressed in nine distinct models that capture aspects of semantic dependence in highly interpretable and non-complex ways.
This dissertation further reflects on present and future problems with the current research paradigm in this area, and makes recommendations on how to overcome them. The amalgamation of the body of work presented in this dissertation advances the expressiveness and granularity of semantic inferences that can be made automatically by machines.
- Professor Lee Giles, College of Information Sciences and Technology, The Pennsylvania State University, USA
- Professor Gabriella Pasi, Università degli Studi di Milano Bicocca, Italy
- Chairman: Professor Jakob Grue Simonsen, Department of Computer Science, University of Copenhagen, Denmark
Unofficial opponents (ex
Unofficial opponents must contact the chairman of the defence, Jakob Grue Simonsen at firstname.lastname@example.org
For a copy of the assessment Committee’s report and co-author statements, please
For a copy of the dissertation, please contact Christina Lioma at email@example.com
There will be a reception after the defence, which will take place at the old library at DIKU, Universitetsparken 1.
Please note that the entire defense will be audio recorded. Furthermore note that the event can be photographed and that pictures are used for displaying the event on DIKU's and University of Copenhagens channels and for marketing for future events. Photos will also be archived for up to 5 years.