Abstract
In this paper, we propose a sentence segmentation model for a semi-automatic tree annotation tool using a parsing model. For the purpose of improving both parsing performance and parsing complexity without any modification of the parsing model, the tree annotation tool performs two-phase parsing for the intra-structure of each segment and the inter-structure of the segments after segmenting a sentence. Experimental results show that it can reduce manual effort about 28.3% by the proposed sentence segmentation model because an annotator’s intervention related to cancellation and reconstruction remarkably decrease.
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© 2006 Springer-Verlag Berlin Heidelberg
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Park, SY., Shin, D., Song, US. (2006). Sentence Segmentation Model to Improve Tree Annotation Tool. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299_5
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DOI: https://doi.org/10.1007/11671299_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32205-4
Online ISBN: 978-3-540-32206-1
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