Paper: A Semantic Scattering Model For The Automatic Interpretation Of Genitives

ACL ID H05-1112
Title A Semantic Scattering Model For The Automatic Interpretation Of Genitives
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

This paper addresses the automatic clas- sification of the semantic relations ex- pressed by the English genitives. A learn- ing model is introduced based on the sta- tistical analysis of the distribution of gen- itives’ semantic relations on a large cor- pus. The semantic and contextual fea- tures of the genitive’s noun phrase con- stituents play a key role in the identifica- tion of the semantic relation. The algo- rithm was tested on a corpus of approx- imately 2,000 sentences and achieved an accuracy of 79%, far better than 44% ac- curacy obtained with C5.0, or 43% ob- tained with a Naive Bayes algorithm, or 27% accuracy with a Support Vector Ma- chines learner on the same corpus.