Evaluating parts-of-speech taggers for use in a text-to-scene conversion system
Glass, Kevin and Bangay, Shaun 2005, Evaluating parts-of-speech taggers for use in a text-to-scene conversion system, in SAICSIT '05 : Research for a Changing World – Proceedings of SAICSIT 2005, South African Institute for Computer Scientists and Information Technologists, Pretoria, South Africa, pp. 20-28.
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Title
Evaluating parts-of-speech taggers for use in a text-to-scene conversion system
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.
ISBN
1595932585
Language
eng
Field of Research
080107 Natural Language Processing
Socio Economic Objective
890299 Computer Software and Services not elsewhere classified
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