66,947 research outputs found

    User experiments with the Eurovision cross-language image retrieval system

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    In this paper we present Eurovision, a text-based system for cross-language (CL) image retrieval. The system is evaluated by multilingual users for two search tasks with the system configured in English and five other languages. To our knowledge this is the first published set of user experiments for CL image retrieval. We show that: (1) it is possible to create a usable multilingual search engine using little knowledge of any language other than English, (2) categorizing images assists the user's search, and (3) there are differences in the way users search between the proposed search tasks. Based on the two search tasks and user feedback, we describe important aspects of any CL image retrieval system

    Searching and organizing images across languages

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    With the continual growth of users on the Web from a wide range of countries, supporting such users in their search of cultural heritage collections will grow in importance. In the next few years, the growth areas of Internet users will come from the Indian sub-continent and China. Consequently, if holders of cultural heritage collections wish their content to be viewable by the full range of users coming to the Internet, the range of languages that they need to support will have to grow. This paper will present recent work conducted at the University of Sheffield (and now being implemented in BRICKS) on how to use automatic translation to provide search and organisation facilities for a historical image search engine. The system allows users to search for images in seven different languages, providing means for the user to examine translated image captions and browse retrieved images organised by categories written in their native language

    Matching Queries to Frequently Asked Questions: Search Functionality for the MRSA Web-Portal

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    As part of the long-term EUREGIO MRSA-net project a system was developed which enables health care workers and the general public to quickly find answers to their questions regarding the MRSA pathogen. This paper focuses on how these questions can be answered using Information Retrieval (IR) and Natural Language Processing (NLP) techniques on a Frequently-Asked-Questions-style (FAQ) database

    Reflections on Mira : interactive evaluation in information retrieval

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    Evaluation in information retrieval (IR) has focussed largely on noninteractive evaluation of text retrieval systems. This is increasingly at odds with how people use modern IR systems: in highly interactive settings to access linked, multimedia information. Furthermore, this approach ignores potential improvements through better interface design. In 1996 the Commission of the European Union Information Technologies Programme, funded a three year working group, Mira, to discuss and advance research in the area of evaluation frameworks for interactive and multimedia IR applications. Led by Keith van Rijsbergen, Steve Draper and myself from Glasgow University, this working group brought together many of the leading researchers in the evaluation domain from both the IR and human computer interaction (HCI) communities. This paper presents my personal view of the main lines of discussion that took place throughout Mira: importing and adapting evaluation techniques from HCI, evaluating at different levels as appropriate, evaluating against different types of relevance and the new challenges that drive the need for rethinking the old evaluation approaches. The paper concludes that we need to consider more varied forms of evaluation to complement engine evaluation

    An introduction to crowdsourcing for language and multimedia technology research

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    Language and multimedia technology research often relies on large manually constructed datasets for training or evaluation of algorithms and systems. Constructing these datasets is often expensive with significant challenges in terms of recruitment of personnel to carry out the work. Crowdsourcing methods using scalable pools of workers available on-demand offers a flexible means of rapid low-cost construction of many of these datasets to support existing research requirements and potentially promote new research initiatives that would otherwise not be possible

    Cross-concordances: terminology mapping and its effectiveness for information retrieval

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    The German Federal Ministry for Education and Research funded a major terminology mapping initiative, which found its conclusion in 2007. The task of this terminology mapping initiative was to organize, create and manage 'cross-concordances' between controlled vocabularies (thesauri, classification systems, subject heading lists) centred around the social sciences but quickly extending to other subject areas. 64 crosswalks with more than 500,000 relations were established. In the final phase of the project, a major evaluation effort to test and measure the effectiveness of the vocabulary mappings in an information system environment was conducted. The paper reports on the cross-concordance work and evaluation results.Comment: 19 pages, 4 figures, 11 tables, IFLA conference 200
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