Graph-based generation of referring expressions
Computational Linguistics
Generating referring expressions involving relations
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Generating minimal definite descriptions
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Algorithms for generating referring expressions: do they do what people do?
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
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Almost all existing referring expression generation algorithms aim to find one best referring expression for a given intended referent. However, human-produced data demonstrates that, for any given entity, many perfectly acceptable referring expressions exist. At the same time, it is not the case that all logically possible descriptions are acceptable; so, if we remove the requirement to produce only one best solution, how do we avoid generating undesirable descriptions? Our aim in this paper is to sketch a framework that allows us to capture constraints on referring expression generation, so that the set of logically possible descriptions can be reduced to just those that are acceptable.