- Title
- Hierarchical rule generalisation for speaker identification in fiction books
- Creator
- Glass, Kevin R, Bangay, Shaun D
- Subject
- To be catalogued
- Date
- 2006
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/433174
- Identifier
- vital:72949
- Identifier
- https://doi.org/10.1145/1216262.1216266
- Description
- This paper presents a hierarchical pattern matching and generalisation technique which is applied to the problem of locating the correct speaker of quoted speech found in fiction books. Patterns from a training set are generalised to create a small number of rules, which can be used to identify items of interest within the text. The pattern matching technique is applied to finding the Speech-Verb, Actor and Speaker of quotes found in fiction books. The technique performs well over the training data, resulting in rule-sets many times smaller than the training set, but providing very high accuracy. While the rule-set generalised from one book is less effective when applied to different books than an approach based on hand coded heuristics, performance is comparable when testing on data closely related to the training set.
- Format
- 9 pages, pdf
- Language
- English
- Relation
- Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries, Glass, K. and Bangay, S., 2006, October. Hierarchical rule generalisation for speaker identification in fiction books. In Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries (pp. 31-40), Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries volume 2006 number 1 31 40 2001 978-1-59593-567-0
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the ACM Digital Library Statement (https://libraries.acm.org/digital-library/policies#anchor3)
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