Number of found records: 59
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CHAN, Samuel W.K. |
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Using heterogeneous linguistic knowledge in local coherence identification for information retrieval |
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Journal of Information Science, 2000, vol.26, n.5, pp. 313-328. |
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Proposes a novel approach to automatic text segmentation without a full semantic understanding. In order to analyse the linguistic bonds and determine the degree of coherence that a text may exhibit, the tremendous diversity of textual relations in a discourse network is represented. A corpus of mutual linguistic knowledge that captures the similarity of meaning and causal relations is encoded in the discourse network, which is then subjected to a cluster algorithm. As a result, segments in the text are segregated into clusters according to their textual similarity. Topic boundaries in a text can be identified by observing the shifts of segments from one cluster to another. The experimental results show that the combination of the heterogeneous knowledge is capable of addressing the topic shifts. Comparison with a related method demonstrates that the algorithm is closely related to the topic boundaries. Given the increasing recognition of text structure in the fields of information retrieval in unpartitioned text, this approach provides a quantitative model and an efficient tool in text segmentation. (The author may be contacted by electronic mail at swkchan@baf.msmail.cuhk.edu.hk). (AU) |
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Automatic text analysis; Linguistic analysis |
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GIBSON, Elizabeth J.; BREWER, Patrick W.; DHOLAKIA, Ajay; [et al]. |
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A Comparative Analysis of Web-Based Testing and Evaluation Systems |
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On line ( 15/06/2004) |
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One of the most important characteristics of an advanced learning environment is its ability to evaluate the knowledge acquisition and retention rate of its user, and to adapt to student needs. Therefore, it is not surprising that an increasing number of student knowledge testing and evaluation systems, that can be attached to World Wide Web courseware and tutorials, are becoming available. In this paper, we discuss some basic features that such a system needs to have, and in that light evaluate a selection of the Web-based testing and evaluation systems (AU) |
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WWW; Education; Computer-Based Teaching; Computer-Based Learning; Testing; Evaluation |
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GRASSIAN, Esther |
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Thinking Critically about World Wide Web Resources |
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On line ( 15/06/2004) |
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Selection of major criteria for evaluating a web page |
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Evaluation; web page; WWW; Internet |
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JACOBSON, Trudi; COHEN, Laura |
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Evaluating Internet Resources |
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On line ( 15/06/2004) |
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Presentation of different criteria for the evaluation of resources on the Internet |
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Evaluation; quality; information; Internet |
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