tailieunhanh - Báo cáo khoa học: "Generating Referring Expressions Involving Relations"

The core of the problem is finding a way of describing the intended referent that distinguishes it from other potential referents with which it might be confused. We refer to this problem as the c o n t e n t d e t e r m i n a t i o n task. In this paper, we point out some limitations in an earlier solution proposed in Dale [1988, 1989], and discuss the possibilites of extending this solution by incorporating a use of constraints motivated by the work of Haddock [1987, 1988]. | Generating Referring Expressions Involving Relations Robert Dale Department of Artificial Intelligence and Centre for Cognitive Science University of Edinburgh Edinburgh eh8 9lw Scotland Abstract In this paper we review Dale s 1989 algorithm for determining the content of a referring expression. The algorithm which only permits the use of one-place predicates is revised and extended to deal with n-ary predicates. We investigate the problem of blocking recursion in complex noun phrases and propose a solution in the context of our algorithm. Introduction In very simple language generation systems there is typically a one-to-one relationship between entities known to the system and the linguistic forms available for describing those entities in effect each entity has a canonical name. In such systems deciding upon the form of reference required in a given context requires at most choosing between a pronoun and the canonical As soon as a generation system has access to a knowledge base which contains richer knowledge about the entities in the domain the system has to face the problem of deciding what particular properties of an entity should be used in describing it in a given Producing a description which includes all of the known properties of the entity is likely to be both inefficient and Wc do not mean to imply of course that the decision as to whether or not to use a pronoun is simple. 2This problem exists quite independently of any considerations of the different perspectives that might be taken upon an entity where for example one entity can be viewed from the perspective of being a father a bicyclist and a teacher with separate clusters of properties in each case. Even if the system is restricted to a single perspective upon each entity as almost all language generation systems are in any sophisticated knowledge base there will still be more information available about the entity than it is sensible to include in a .