A semantic scattering model for the automatic interpretation of genitives

Authors:
Dan Moldovan;Adriana Badulescu
Affiliations:
Language Computer Corporation, Richardson, TX;Language Computer Corporation, Richardson, TX
Venue:
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Year:
2005

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Abstract

This paper addresses the automatic classification of the semantic relations expressed by the English genitives. A learning model is introduced based on the statistical analysis of the distribution of genitives' semantic relations on a large corpus. The semantic and contextual features of the genitive's noun phrase constituents play a key role in the identification of the semantic relation. The algorithm was tested on a corpus of approximately 2,000 sentences and achieved an accuracy of 79%, far better than 44% accuracy obtained with C5.0, or 43% obtained with a Naive Bayes algorithm, or 27% accuracy with a Support Vector Machines learner on the same corpus.