- Title
- Evaluating parts-of-speech taggers for use in a text-to-scene conversion system
- Creator
- Glass, Kevin R, Bangay, Shaun D
- Subject
- To be catalogued
- Date
- 2005
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/432654
- Identifier
- vital:72890
- Identifier
- https://www.cs.ru.ac.za/research/groups/vrsig/currentprojects/053texttoscene/paper01.pdf
- 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
- 8 pages, pdf
- Language
- English
- Relation
- South African Institute of Computer Scientists and Information Technologists (SAICSIT), Glass, K. and Bangay, S., 2005. Evaluating parts-of-speech taggers for use in a text-to-scene conversion system. In SAICSIT (Vol. 5, pp. 20-28), South African Institute of Computer Scientists and Information Technologists (SAICSIT) volume 2005 number 1 1 8 2008 Conference
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the South African Institute of Computer Scientists and Information Technologists (SAICSIT Statement (https://saicsit.org/conferences/)
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Collections
Bangay, Shaun Douglas (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
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