Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meaning in terms of undifferentiated bags of words or topical dimensions. This has led some to question their psychological plausibility (Murphy, 2002;Schunn, 1999). We present here a fully automatic method for extracting a structured and comprehensive set of concept descriptions directly from an English part‐of‐speech‐tagged corpus. Concepts are characterized by weighted properties, enriched with concept–property types that approximate classical (...) relations such as hypernymy and function. Our model outperforms comparable algorithms in cognitive tasks pertaining not only to concept‐internal structures (discovering properties of concepts, grouping properties by property type) but also to inter‐concept relations (clustering into superordinates), suggesting the empirical validity of the property‐based approach. (shrink)

Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meaning in terms of undifferentiated bags of words or topical dimensions. This has led some to question their psychological plausibility (Murphy, 2002;Schunn, 1999). We present here a fully automatic method for extracting a structured and comprehensive set of concept descriptions directly from an English part‐of‐speech‐tagged corpus. Concepts are characterized by weighted properties, enriched with concept–property types that approximate classical (...) relations such as hypernymy and function. Our model outperforms comparable algorithms in cognitive tasks pertaining not only to concept‐internal structures (discovering properties of concepts, grouping properties by property type) but also to inter‐concept relations (clustering into superordinates), suggesting the empirical validity of the property‐based approach. (shrink)

The importance of financial advice for individuals is difficult to refute, however the degree to which the financial planning industry has been able to provide this to date is in debate. As a result, the industry, which is still in its infancy, has been subject to rapid growth, various controversies and regulatory intervention. The Global Financial Crisis (GFC) has contributed to the pace of this change with increased client, regulatory and self scrutiny as a result of the heightened dissatisfaction with (...) advice outcomes. The coalescence of these factors has led to significant internal and external changes within the industry, resulting in the apparent commitment to becoming a profession. This paper will examine the implication of this agenda for tertiary education in relation to the role it could play to support the development of the financial planning profession. The paper achieves this by (1) reviewing the background to the financial planning industry and the move towards professionalism; (2) discussing current developments in the industry; (3) establishing the role of tertiary education and (4) assessing the role that tertiary education has played in supporting the financial planning sector. We argue that tertiary education has a critical role to play, however it is yet to achieve this. This study will be useful for those in both the managerial and operational/ academic elements of tertiary education in terms of providing considered avenues for engagement in this discipline. Indeed, if the paper provokes debate and discussion in tertiary education around the nation then we would consider our task complete. (shrink)