A naïve, salience-based method for speaker identification in fiction books
A naïve, salience-based method for speaker identification in fiction books
复制标题
一种基于显着性的朴素小说中说话人识别方法
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
S. Bangay
中科院分区：
文献类型：
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作者：
Kevin R. Glass;S. 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 naive (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%.
