Analyzing the prevalence of sports-related terms among the web sites of global corporations

This research investigates the prevalence of sports-related terms among the Web sites of the world’s leading companies, the Fortune Global 500. An automated process copied about four gigabytes of textual data, around 70 million words, from their sites. The subsequent analysis revealed regional and industry differences in the distribution of sports-related terms, the popularity of tennis stars and few references to sports stars, especially in Asia.

Catching up with consumer realities: the need for legislation prohibiting unfair terms in consumer contracts

In the policy debate about the need for legislation to prohibit the use of unfair terms in consumer contracts, substantive unfairness is often distinguished from procedural unfairness. Current consumer protection laws appear to offer the potential for relief on substantive unfairness grounds alone. However, a review of cases involving credit contracts shows this potential is rarely realised. This reluctance to provide relief for substantive injustice reflects a preoccupation with freedom and certainty of contract, the notions underpinning classical contract theories. As a class, consumers are vulnerable in the marketplace, and they do need protection from substantively unfair terms. A new framework for regulating consumer contracts is needed, one that relies less on classical contract theories and takes the reality of consumer contracting and consumer behavior as its starting point. Unfair contract terms legislation will be a step on the path towards this new framework.

Generating rules with predicates, terms and variables from the pruned neural networks

Artificial neural networks (ANN) have demonstrated good predictive performance in a wide range of applications. They are, however, not considered sufficient for knowledge representation because of their inability to represent the reasoning process succinctly. This paper proposes a novel methodology Gyan that represents the knowledge of a trained network in the form of restricted first-order predicate rules. The empirical results demonstrate that an equivalent symbolic interpretation in the form of rules with predicates, terms and variables can be derived describing the overall behaviour of the trained ANN with improved comprehensibility while maintaining the accuracy and fidelity of the propositional rules.

Address terms in turn beginnings: Managing disalignment and disaffiliation in telephone counselling

This paper examines use of address terms by counsellors on a telephone counselling service for children and young people. Drawing on conversation analytic findings and methods, we show how personal names are used in the management of structural and interpersonal aspects of counselling interaction. Focusing on address terms in turn-beginnings - where a name is used as, or as part of, a preface - the analysis shows that address terms are used in turns that are not fitted with prior talk in terms of either the activity or affective stance of the client. We discuss two environments in which this practice is observed: in beginning turns that initiate a new action sequence, and in turns that challenge the client’s position. Our focus is on the use of client names in the context of producing disaligning or disaffiliative actions. In disaligned actions, counsellors produced sequentially disjunctive turns that regularly involved a return to a counselling agenda. In disaffiliative actions counsellors presented a stance that did not fit with the affective stance of the client in the prior turn, for instance, in disagreeing with or complimenting the client. The paper discusses how such turns invoke a counselling agenda and how name use is used in the management of rapport and trust in counselling interaction.

Using Web Search Logs to Identify Query Classification Terms

Purpose – The work presented in this paper aims to provide an approach to classifying web logs by personal properties of users. Design/methodology/approach – The authors describe an iterative system that begins with a small set of manually labeled terms, which are used to label queries from the log. A set of background knowledge related to these labeled queries is acquired by combining web search results on these queries. This background set is used to obtain many terms that are related to the classification task. The system then ranks each of the related terms, choosing those that most fit the personal properties of the users. These terms are then used to begin the next iteration. Findings – The authors identify the difficulties of classifying web logs, by approaching this problem from a machine learning perspective. By applying the approach developed, the authors are able to show that many queries in a large query log can be classified. Research limitations/implications – Testing results in this type of classification work is difficult, as the true personal properties of web users are unknown. Evaluation of the classification results in terms of the comparison of classified queries to well known age-related sites is a direction that is currently being exploring. Practical implications – This research is background work that can be incorporated in search engines or other web-based applications, to help marketing companies and advertisers. Originality/value – This research enhances the current state of knowledge in short-text classification and query log learning. Classification schemes, Computer networks, Information retrieval, Man-machine systems, User interfaces

Practice and procedure : a recent Court of Appeal case examines the meaning of 'third party payer' in terms of Part 3.4 of the Legal Profession Act 2007.

In Legal Services Commissioner v Wright [2010] QCA 321 the Queensland Court of Appeal allowed an appeal from the first instance decision. The decision involved the construction of “third party payer” in Part 3.4 of the Legal Profession Act 2007 (Qld).

Unfair terms in residential land contracts : will the Australian consumer law improve a buyer’s bargaining position?

The prohibition on unfair contract terms in standard form consumer contracts has the potential to significantly impact on the terms of contracts for the sale of land. The definition of ‘consumer contract’ includes contracts for the sale or grant of an interest in land to an individual wholly or predominantly for personal or domestic use. Therefore, a contract for the purchase of a residence for personal occupation by the buyer, as opposed to a purchase for investment purposes, will be a consumer contract potentially attracting the application of the unfair terms provisions. Significant consumer protection mechanisms already exist in most state jurisdictions requiring disclosure of relevant matters to the buyer and providing remedies for the provision of misleading conduct. Minimal evidence of unfair terms in land contract was presented to the Productivity Commission Inquiry into the Australian Consumer Policy Framework raising the question as to whether there is an identified problem of unfair terms in real estate contracts and if so, whether the same economic and ethical rationales justify regulatory intervention. This article examines what effect if any the introduction of the unfair contract provisions will have on the enforcement of residential land contracts and the viability of previously accepted conditions if challenged as being “unfair terms”. The article concludes that despite the existence of several potentially unfair terms in some land contracts, the intervention of the rules of equity to overcome perceived hardship or unfairness to buyers from strict enforcement of terms means the unfair terms provisions are only likely to operate on terms untouched by those principles. In the authors’ view the scope for operation of the unfair terms provisions will be limited to terms untouched by the principles of equity and consumer protection legislation making it unlikely that there will be any significant realignment of the contractual obligations and rights of buyers and sellers of land.

Intrapreneurial bricolage: a contradiction in terms or useful construct?

This paper addresses the ambiguous relationship of internal, organizationa social capital and external social capital with corporate entrepreneurship performance. Drawing on social construction theory we argue that bricolage can mitigate some of the negative effects associated with social capital by recombining and redefining the purpose of available resources. We investigated our hypotheses through a random sample of 206 corporate entrepreneurship projects. We found that both internal and external social capital have no direct effect on performance of corporate entrepreneurship projects. The results indicate that bricolage mediates the relationship between social capital and performance of corporate entrepreneurship projects. Bricolage thrives in particularly when there is wide availability of social capital internal and external to the organization. The implications are that bricolage is a critical behavior in allowing corporate entrepreneur projects to benefit from resources available through their network of social relations inside and outside the company.

Lingodroids : learning terms for time

For humans and robots to communicate using natural language it is necessary for the robots to develop concepts and associated terms that correspond to the human use of words. Time and space are foundational concepts in human language, and to develop a set of words that correspond to human notions of time and space, it is necessary to take into account the way that they are used in natural human conversations, where terms and phrases such as `soon', `in a while', or `near' are often used. We present language learning robots called Lingodroids that can learn and use simple terms for time and space. In previous work, the Lingodroids were able to learn terms for space. In this work we extend their abilities by adding temporal variables which allow them to learn terms for time. The robots build their own maps of the world and interact socially to form a shared lexicon for location and duration terms. The robots successfully use the shared lexicons to communicate places and times to meet again.