Name
Abstract | ||
|---|---|---|
This paper describes our word segmenta- tion system and named entity recognition (NER) system for participating in the third SIGHAN Bakeoff. Both of them are based on character tagging, but use dif- ferent tag sets and different features. Evaluation results show that our word segmentation system achieved 93.3% and 94.7% F-score in UPUC and MSRA open tests, and our NER system got 70.84% and 81.32% F-score in LDC and MSRA open tests. |
Year | Venue | Field |
|---|---|---|
2006 | SIGHAN@COLING/ACL | Computer science,Text segmentation,Speech recognition,MSRA,Artificial intelligence,Natural language processing,Named-entity recognition |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kun Yu | 1 | 38 | 7.33 |
| Sadao Kurohashi | 2 | 1083 | 177.05 |
| Hao Liu | 3 | 1 | 0.35 |
| Toshiaki Nak | 4 | 1 | 0.35 |
| Toshiaki Nakaaa | 5 | 1 | 0.35 |