Paper: A Plethora Of Methods For Learning English Countability

ACL ID W03-1010
Title A Plethora Of Methods For Learning English Countability
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2003
Authors

This paper compares a range of methods for classifying words based on linguis- tic diagnostics, focusing on the task of learning countabilities for English nouns. We propose two basic approaches to feature representation: distribution-based representation, which simply looks at the distribution of features in the cor- pus data, and agreement-based represen- tation which analyses the level of token- wise agreement between multiple pre- processor systems. We additionally com- pare a single multiclass classifier archi- tecture with a suite of binary classifiers, and combine analyses from multiple pre- processors. Finally, we present and evalu- ate a feature selection method.