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A naïve, salience-based method for speaker identification in fiction books

conference contribution
posted on 2007-01-01, 00:00 authored by K Glass, Shaun BangayShaun Bangay
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%.

History

Event

International Symposium of the Pattern Recognition Association of South Africa (18th : 2007 : Pietermaritzburg, South Africa)

Pagination

1 - 6

Publisher

PRASA

Location

Pietermaritzburg, South Africa

Place of publication

Durban, South Africa

Start date

2007-11-28

End date

2007-11-30

ISBN-13

9781868406562

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2007, PRASA

Editor/Contributor(s)

J Tapamo, F Nicolls

Title of proceedings

PRASA 2007 : Proceedings of the 18th International Symposium of the Pattern Recognition Association of South Africa

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