Name
Title | ||
|---|---|---|
KCDC: Word sense induction by using grammatical dependencies and sentence phrase structure |
Abstract | ||
|---|---|---|
Word sense induction and discrimination (WSID) identifies the senses of an ambiguous word and assigns instances of this word to one of these senses. We have build a WSID system that exploits syntactic and semantic features based on the results of a natural language parser component. To achieve high robustness and good generalization capabilities, we designed our system to work on a restricted, but grammatically rich set of features. Based on the results of the evaluations our system provides a promising performance and robustness. |
Year | Venue | Keywords |
|---|---|---|
2010 | SemEval@ACL | promising performance,grammatical dependency,high robustness,WSID system,natural language parser component,good generalization capability,ambiguous word,sentence phrase structure,grammatically rich set,word sense induction |
Field | DocType | Citations |
SemEval,Word-sense induction,Computer science,Robustness (computer science),Natural language,Phrase structure rules,Artificial intelligence,Natural language processing,Parsing,Syntax,Sentence | Conference | 5 |
PageRank | References | Authors |
0.42 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| roman kern | 1 | 350 | 45.08 |
| Markus Muhr | 2 | 74 | 5.53 |
| Michael Granitzer | 3 | 822 | 80.14 |