- Title
- A naive salience-based method for speaker identification in fiction books
- Creator
- Glass, Kevin R, Bangay, Shaun D
- Subject
- To be catalogued
- Date
- 2007
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/432627
- Identifier
- vital:72888
- Identifier
- https://pubmed.ncbi.nlm.nih.gov/10350927/
- Description
- This paper presents a salience-based technique for the annotation of directly quoted speech from fiction text. In particular, this paper determines to what extent a naïve (without the use of complex machine learning or knowledge-based techniques) scoring technique can be used for the identification of the speaker of speech quotes. The presented technique makes use of a scoring technique, similar to that commonly found in knowledge-poor anaphora resolution research, as well as a set of hand-coded rules for the final identification of the speaker of each quote in the text. Speaker identification is shown to be achieved using three tasks: the identification of a speech-verb associated with a quote with a recall of 94.41%; the identification of the actor associated with a quote with a recall of 88.22%; and the selection of a speaker with an accuracy of 79.40%.
- Format
- 6 pages, pdf
- Language
- English
- Relation
- Proceedings of the 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA’07), Glass, K. and Bangay, S., 2007, November. A naive salience-based method for speaker identification in fiction books. In Proceedings of the 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA’07) (pp. 1-6), Proceedings of the 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA’07) volume 2007 number 1 1 6 2007 Conference
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the Proceedings of the 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA’07) Statement
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Collections
Bangay, Shaun Douglas (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
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