Name
Abstract | ||
|---|---|---|
This paper presents two word segmenta- tion (WS) systems and a named entity recognition (NER) system in France Telecom R&D Beijing. The one system of WS is for open tracks based on n- gram language model and another one is for closed tracks based on maximum en- tropy approach. The NER system uses a hybrid algorithm based on Class-based language model and rule-based knowl- edge. These systems are all augmented with a set of post-processors. |
Year | Venue | Keywords |
|---|---|---|
2006 | SIGHAN@COLING/ACL | language model,rule based,hybrid algorithm,word segmentation |
Field | DocType | Citations |
Telecommunications,Hybrid algorithm,Computer science,Text segmentation,Speech recognition,Artificial intelligence,Natural language processing,Principle of maximum entropy,Named-entity recognition,Language model,Beijing | Conference | 4 |
PageRank | References | Authors |
0.70 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| wu liu | 1 | 4 | 0.70 |
| h li | 2 | 4 | 1.37 |
| Yuan DONG | 3 | 139 | 25.66 |
| nan he | 4 | 4 | 0.70 |
| Haitao Luo | 5 | 25 | 5.00 |
| Haila WANG | 6 | 265 | 23.54 |