• The Effects of Power and Dependence Asymmetry on Marketing/Sales.

      Massey, Graham R.; Dawes, Philip L. (Australian and New Zealand Marketing Academy Conference (ANZMAC), 2007)
      This paper examines how the power of the Sales unit (department), and the dependence of Marketing Managers on Sales Managers (and vice versa) affect trust in working relationships between those Marketing Managers and Sales Managers. Our results show that the greater the power of the Sales department, the lower the propensity of Marketing Managers to trust the Sales Manager. In addition, our results suggest that the effects of cross-functional dependence on interpersonal trust are not symmetric. Specifically, when Marketing Managers are highly dependent on Sales Managers, they will be more likely to trust the Sales Manager. However, when the Sales Manager is highly dependent on the Marketing Manager, this is not associated with the Marketing Manager having increased interpersonal trust in that Sales Manager.
    • The foundation degree in travel operations management – a reflective perspective

      Robinson, Peter (2008)
      In September 2007 60 students from TUI, the UKs largest tour operator, enrolled on an innovative new Foundation Degree in Travel Operations Management, delivered online by University of Wolverhampton, University College Birmingham and Coventry University. The FD was developed as part of University of Wolverhampton’s response to the Governments drive for ‘new, innovative awards at sub‐degree level’ launched in 2000. It is managed through the Department for Leisure and Lifestyle Industries Management (LALIM) as the lead partner in the group of HEIs, working under the umbrella of UKTEP, the UK Travel Education Partnership. A project steering group involving staff from each HEI, the employer and Foundation Degree Forward, monitors the programme. The long‐term aim is for the programme to become the National Standard for the Travel Industry and the first 60 students are the pilot for this programme. Eight months on this article reflects on the progress of the students and considers some of the challenges for the future.
    • Towards automatic generation of relevance judgments for a test collection

      Makary, Mireille; Oakes, Michael; Yamout, Fadi (IEEE, 2016-09-20)
      This paper represents a new technique for building a relevance judgment list for information retrieval test collections without any human intervention. It is based on the number of occurrences of the documents in runs retrieved from several information retrieval systems and a distance based measure between the documents. The effectiveness of the technique is evaluated by computing the correlation between the ranking of the TREC systems using the original relevance judgment list (qrels) built by human assessors and the ranking obtained by using the newly generated qrels.
    • Using key phrases as new queries in building relevance judgements automatically

      Makary, Mireille; Oakes, Michael; Yamout, Fadi (CEUR - workshop proceedings, 2016-09-30)
      We describe a new technique for building a relevance judgment list (qrels) for TREC test collections with no human intervention. For each TREC topic, a set of new queries is automatically generated from key phrases extract-ed from the top k documents retrieved from 12 different Terrier weighting models when the initial TREC topic is submitted. We assign a score to each key phrase based on its similarity to the original TREC topic. The key phrases with the highest scores become the new queries for a second search, this time using the Terrier BM25 weighting model. The union of the documents retrieved forms the automatically-build set of qrels.
    • VIP: Voice-Text Integrated System for Interpreters

      Corpas Pastor, Gloria (Tradulex, 2017-11-16)
      This paper introduces VIP, an R&D project that explores the impact and feasibility of using Human Language Technology (HLT) and Natural Language Processing (NLP) for interpreting training, practice and research. This project aims at filling the gap in and addressing the pressing need for technology in general for interpreters, which is reported to be scarce. Although most interpreters are unaware of interpreting technologies or are reluctant to use them, there are some tools and resources already available, mainly computer-assisted interpreting (CAI) tools. VIP is working on the development of technology and cutting-edge research with the potential to revolutionise the interpreting industry by lowering costs for interpreter training, fostering an online community which shares, generates and cultivates interpreting resources; and providing an efficient interpreter workbench tool (computerassisted interpreting software).