Results of Plink
- Plink has been used for MUC-5 and 7. It's been used in
Arabic text extraction. It's the basis of a few other
systems. (It works in GATE.)
-
| Training PTB | Test PTB | Susanne |
Plink | 99.0/94.9 | 70.8/74.1 | 61.5/66.4 |
Collins | | 88.1/88.6 | |
Lin | | | 71.8/79.9 |
- The measurements are recall/precision.
- The PTB is the standard Penn Tree Bank measurement, and
the Susanne measurement is a dependency based analysis via Lin.
- These tests really don't test ungrammaticality.
- Plink's value on the tests show it is reasonable but not
state of the art.
- Plink is largely hand-coded.
- The training set shows the potential of Plink, but some automated
learning is needed to bring Plink to the state of the art.
- This leads us to the semantic question. Should we use *Dog* or
other symbols? Should we use Latent Semantic Analysis? How about XI?
Maybe, we should actually ground symbols.