Name
Abstract | ||
|---|---|---|
This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey to understand the relevance of many factors to the success of learning, esp. the availability of annotated data, the kind of dependencies in the data, and the availability of knowledge bases (grammars). We focused on syntax, esp. noun phrase (NP) syntax. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.3115/1117822.1117830 | CoNLL |
Keywords | DocType | Volume |
paper report,knowledge base,annotated data,learning computational grammars,computational grammar,postdoc network,noun phrase,computational use,systematic survey | Journal | cs.CL/0107017 |
Citations | PageRank | References |
3 | 0.59 | 23 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John Nerbonne | 1 | 174 | 47.63 |
| Anja Belz | 2 | 482 | 41.74 |
| Nicola Cancedda | 3 | 261 | 20.27 |
| Hervé Déjean | 4 | 377 | 48.52 |
| James Hammerton | 5 | 5 | 0.97 |
| Rob Koeling | 6 | 434 | 38.38 |
| Stasinos Konstantopoulos | 7 | 178 | 28.61 |
| Miles Osborne | 8 | 2204 | 139.79 |
| Franck Thollard | 9 | 227 | 17.10 |
| Erik Tjong Kim Sang | 10 | 94 | 8.23 |