Name
Abstract | ||
|---|---|---|
Matching coreferent named entities without prior knowledge requires good similarity measures. Soft-TFIDF is a fine-grained measure which performs well in this task. We propose to enhance this kind of metrics, through a generic model in which measures may be mixed, and show experimentally the relevance of this approach. |
Year | Venue | Keywords |
|---|---|---|
2008 | COLING | good similarity measure,generic model,matching coreferent,robust similarity measure,prior knowledge,fine-grained measure |
Field | DocType | Volume |
Information retrieval,Pattern recognition,Computer science,Natural language processing,Artificial intelligence | Conference | C08-1 |
Citations | PageRank | References |
28 | 0.96 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erwan Moreau | 1 | 35 | 4.24 |
| François Yvon | 2 | 941 | 102.51 |
| O. Cappe | 3 | 2112 | 207.95 |