PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

CNTS: memory-based learning of generating repeated references
Iris Hendrickx, Walter Daelemans, Kim Luyckx, Roser Morante and Vincent Van Asch
In: 5th International Natural Language Generation Conference, 12-14 Jun 2008, Ohio, USA.


In this paper we describe our machine learning approach to the generation of referring expressions. As our algorithm we use memory-based learning. Our results show that in case of predicting the TYPE of the expression, having one general classifier gives the best results. On the contrary, when predicting the full set of properties of an expression, a combined set of specialized classifiers for each subdomain gives the best performance.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:5693
Deposited By:Vincent Van Asch
Deposited On:08 March 2010