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  • × author_ss:"Wilks, Y."
  • × type_ss:"a"
  1. Wilks, Y.: Language, vision and metaphor (1995) 0.00 
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    Abstract
    The integration of language and vision capabilities in computers can be seen purely as a multimedia task without any theoretical assumptions being required. However, it is worth exploring whether the modalities have anything serious in common, in particular in the light of claim that most non technical language use is metaphorical. What consequences would that have for the underlying relationship of language and vision: is it possible that vision is largely metaphorical? visual processing can embody structural ambiguity, but not anything analogous to metaphor. Metaphor is essentially connected with the extension of sense and only symbols can have senses. But if it makes no sense to say a figure can be metaphorical that must also mean, that it makes no sense to say it is literally anything either
  2. Guthrie, L.; Pustejovsky, J.; Wilks, Y.; Slator, B.M.: ¬The role of lexicons in natural language processing (1996) 0.00 
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  3. Gaizauskas, R.; Wilks, Y.: Information extraction : beyond document retrieval (1998) 0.00 
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    Abstract
    In this paper we give a synoptic view of the growth of the text processing technology of informatione xtraction (IE) whose function is to extract information about a pre-specified set of entities, relations or events from natural language texts and to record this information in structured representations called templates. Here we describe the nature of the IE task, review the history of the area from its origins in AI work in the 1960s and 70s till the present, discuss the techniques being used to carry out the task, describe application areas where IE systems are or are about to be at work, and conclude with a discussion of the challenges facing the area. What emerges is a picture of an exciting new text processing technology with a host of new applications, both on its own and in conjunction with other technologies, such as information retrieval, machine translation and data mining
  4. McKevitt, P.; Partridge, D.; Wilks, Y.: Why machines should analyse intention in natural language dialogue (1999) 0.00 
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