Handling Sparse Data by Successive Abstraction
| Author(s) : | Christer Samuelsson, |
| Publisher : | N/A |
| Publication Date : | 1996 |
| ISSN : | N/A |
| Abstract : | A general, practical method for hand-ling sparse data that avoids held-out data and iterative reestimation is derived from first principles. It has been tested on a part-of-speech tagging task and out-performed (deleted) interpolation with context-independent weights, even when the latter used a globally optimal para-meter setting determined a posteriori. 1, |