- Title
- Evaluating parts-of-speech taggers for use in a text-to-scene conversion system
- Creator
- Glass, Kevin R
- Creator
- Bangay, Shaun D
- Date Issued
- 2005
- Date
- 2005
- Type
- Conference paper
- Identifier
- vital:6603
- Identifier
- http://hdl.handle.net/10962/d1009323
- Description
- This paper presents parts-of-speech tagging as a first step towards an autonomous text-to-scene conversion system. It categorizes some freely available taggers, according to the techniques used by each in order to automatically identify word-classes. In addition, the performance of each identified tagger is verified experimentally. The SUSANNE corpus is used for testing and reveals the complexity of working with different tagsets, resulting in substantially lower accuracies in our tests than in those reported by the developers of each tagger. The taggers are then grouped to form a voting system to attempt to raise accuracies, but in no cases do the combined results improve upon the individual accuracies. Additionally a new metric, agreement, is tentatively proposed as an indication of confidence in the output of a group of taggers where such output cannot be validated.
- Format
- 9 pages
- Format
- Language
- English
- Relation
- Glass, K. R. and Bangay, S.D. (2005) Evaluating parts-of-speech taggers for use in a text-to-scene conversion system. In: Proceedings of the 2005 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries, September, 2005, White River, South Africa. Available at: http://dl.acm.org/citation.cfm?id=1145678
- Hits: 493
- Visitors: 664
- Downloads: 179
Collections
RU Department of Computer Science
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCEPDF | 255 KB | Adobe Acrobat PDF | View Details Download |