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    Evaluation of Analogical Inferences Formed from Automatically Generated Representations of Scientific Publications


    Abgaz, Yalemisew and O'Donoghue, Diarmuid and Hurley, Donny and Smorodinnikov, Dmitry (2016) Evaluation of Analogical Inferences Formed from Automatically Generated Representations of Scientific Publications. In: 24th Irish Conference on Artificial Intelligence and Cognitive Science, 20-21 September 2016, University College Dublin.

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    Abstract

    Humans regularly exploit analogical reasoning to generate potentially novel and useful inferences. We outline the Dr Inventor model that identifies analogies between research publications, describing recent work to evaluate the inferences that are generated by the system. Its inferences, in the form of subjectverb-object triples, can involve arbitrary combinations of source and target information. We evaluate three approaches to assess the quality of inferences. Firstly, we explore an n-gram based approach (derived from the Dr Inventor corpus). Secondly, we use ConceptNet as a basis for evaluating inferences. Finally, we explore the use of Watson Concept Insights (WCI) to support our inference evaluation process. Dealing with novel inferences arising from an ever growing corpus is a central concern throughout.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Evaluation; Analogical Inferences; Automatically Generated Representations; Scientific Publications;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 10350
    Depositing User: Dr. Diarmuid O'Donoghue
    Date Deposited: 03 Jan 2019 14:56
    Refereed: Yes
    URI:

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