By Luc Steels, Guus Schreiber, Walter Van de Velde
This quantity includes a range of the main papers provided on the 8th eu wisdom Acquisition Workshop (EKAW '94), held in Hoegaarden, Belgium in September 1994.
The publication demonstrates that paintings within the mainstream of information acquisition ends up in worthwhile sensible effects and places the information acquisition firm in a broader theoretical and technological context. The 21 revised complete papers are rigorously chosen key contributions; they deal with wisdom modelling frameworks, the id of ordinary parts, technique features, and architectures and purposes. the amount opens with a considerable preface by means of the quantity editors surveying the contents.
Read Online or Download A Future for Knowledge Acquisition: 8th European Knowledge Acquisition Workshop, EKAW '94 Hoegaarden, Belgium, September 26–29, 1994 Proceedings PDF
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Additional resources for A Future for Knowledge Acquisition: 8th European Knowledge Acquisition Workshop, EKAW '94 Hoegaarden, Belgium, September 26–29, 1994 Proceedings
Yo Ie apuiiale a Juan), although only one surface tree is shown here. In general, the system returns all possibilities when there is more than once choice for the translation. It also returns more than one result in the case of ambiguity: if t ere were a prepositional-phrase attachment ambiguity as in John saw the man with the telescope (the telescope may be associated either with the act of seeing, or with the man), two source-language syntactic trees would be returned, two LeS's would be composed, and, if the target language did not have a single (ambiguous) way of stating the two concepts, two target-language syntactic trees would be returned.
22 The current approach attempts to achieve a middle ground between representations that encode too much information and those that en code too little. In particular, the interlingua includes those aspects of lexical knowledge related to lexical-semantic properties of words ( e. g. , argument structure of verbs ) but does not include "deeper" notions of meaning such as aspectual, contextual, domain, and world knowledge. While these "deeper" notions are indisputably necessary for a general so lution to machine translation, previous approaches that have employed deep semantic representations say very little about how to construct a single, cross-linguistically applicable mapping between the syntactic structure and the interlingua.
However, this method does not carry over to other causative forms such as John threw the ball from the roof derived from the non causative form The ball fell from the roof (see figure 1 . 17). Here, the non-causative and causative forms are distinguished by means of the specification of the agent: the non-causative form includes an unspecified agent (designated by '*'), whereas the causative form fills this position with an overt agent. Copyrighted Material Chapter 36 The ballfellfrom the roof * p � PROPEL � ball � John threw the ballfrom the roof p John � PROPEL� ball .