CNTS: memory-based learning of generating repeated references

Authors:
Iris Hendrickx;Walter Daelemans;Kim Luyckx;Roser Morante;Vincent Van Asch
Affiliations:
University of Antwerp, Antwerp, Belgium;University of Antwerp, Antwerp, Belgium;University of Antwerp, Antwerp, Belgium;University of Antwerp, Antwerp, Belgium;University of Antwerp, Antwerp, Belgium
Venue:
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Year:
2008

Citing 3
Cited 1

Memory-Based Language Processing (Studies in Natural Language Processing)

Memory-Based Language Processing (Studies in Natural Language Processing)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Generation of repeated references to discourse entities

ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation

Computational generation of referring expressions: A survey

Computational Linguistics

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Abstract

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.