Name
Abstract | ||
|---|---|---|
We show how a treebank can be used to cluster words on the basis of their syntac- tic behavior. The resulting clusters repre- sent distinct types of behavior with much more precision than parts of speech. As an example we show how prepositions can be automatically subdivided by their syntac- tic behavior and discuss the appropriate- ness of such a subdivision. Applications of this work are also discussed. S works verb |
Year | Venue | Keywords |
|---|---|---|
1997 | CoNLL | part of speech |
Field | DocType | Volume |
Verb,Computer science,Part of speech,Speech recognition,Subdivision,Artificial intelligence,Treebank,Natural language processing,Cluster analysis,Syntax | Conference | W97-10 |
Citations | PageRank | References |
3 | 0.48 | 14 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wide R. Hogenhout | 1 | 8 | 2.31 |
| yuji matsumoto | 2 | 3008 | 300.05 |