POS Induction (State of the art): Difference between revisions
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Berg-Kirkpatrick et al. (2010) |
Alexander Clark. 2003 |
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==Evaluation== | |||
'''Many-to-1:''' Mapping every induced label to a gold standard tag greedily. Use the mapping to compute tag accuracy on the Wall Street Journal part of the Penn TreeBank. | |||
==Results== | |||
{| border="1" cellpadding="5" cellspacing="1" width="100%" | {| border="1" cellpadding="5" cellspacing="1" width="100%" | ||
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! Many-to-1 | ! Many-to-1 | ||
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| | | Brown+proto | ||
| MRF initialized with Brown prototypes | | MRF initialized with Brown prototypes | ||
| Christodoulopoulos, Goldwater and Steedman (2010) | | Christodoulopoulos, Goldwater and Steedman (2010) | ||
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| | | | ||
| 75.5% | | 75.5% | ||
|- | |||
| Clark DMF | |||
| Distributional clustering + morphology + frequency | |||
| Clark (2003) | |||
| [http://www.cs.rhul.ac.uk/home/alexc/pos2.tar.gz alexc] | |||
| 71.2%* | |||
|- | |- | ||
|} | |} | ||
<nowiki>*</nowiki> according to Christodoulopoulos, Goldwater and Steedman (2010) | |||
== References == | == References == | ||
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* [http://www.aclweb.org/anthology/N/N10/N10-1083.pdf Taylor Berg-Kirkpatrick, Alexandre Bouchard-Cote, John DeNero, and Dan Klein. 2010. Painless Unsupervised Learning with Features. NAACL 2010.] | * [http://www.aclweb.org/anthology/N/N10/N10-1083.pdf Taylor Berg-Kirkpatrick, Alexandre Bouchard-Cote, John DeNero, and Dan Klein. 2010. Painless Unsupervised Learning with Features. NAACL 2010.] | ||
* [http://www.aclweb.org/anthology/E/E03/E03-1009.pdf Alexander Clark. 2003. Combining distributional and morphological information for part of speech induction. In Proceedings of EACL 2003, pages 59–66, Morristown, NJ, USA.] | |||
== See also == | == See also == | ||
Revision as of 21:43, 27 January 2011
Evaluation
Many-to-1: Mapping every induced label to a gold standard tag greedily. Use the mapping to compute tag accuracy on the Wall Street Journal part of the Penn TreeBank.
Results
| System name | Short description | Main publications | Software | Many-to-1 |
|---|---|---|---|---|
| Brown+proto | MRF initialized with Brown prototypes | Christodoulopoulos, Goldwater and Steedman (2010) | 76.1% | |
| Logistic regression with features and LBFGS | Berg-Kirkpatrick et al. (2010) | 75.5% | ||
| Clark DMF | Distributional clustering + morphology + frequency | Clark (2003) | alexc | 71.2%* |
* according to Christodoulopoulos, Goldwater and Steedman (2010)