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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Choi, K.-S.: KAIST Language Resources ver. The Result of Core Software Project from Ministry of Science and Technology (written in Korean) (2001), http://kibs.kaist.ac.kr
Mitchell, P.M., Santorini, B., Marcinkiewicz, M.A.: Building a Large Annotated Corpus of English: the Penn Treebank. Computational Linguistics 19(2), 313–330 (1993)
Lim, J.-H., Park, S.-Y., Kwak, Y.-J., Rim, H.-C.: A semi-automatic tree annotating workbench for building a korean treebank. In: Gelbukh, A. (ed.) CICLing 2004. LNCS, vol. 2945, pp. 253–257. Springer, Heidelberg (2004)
Kwak, Y.-J., Hwang, Y.-S., Chung, H.-J., Park, S.-Y., Rim, H.-C.: FIDELITY: A Framework for Context-Sensitive Grammar Development. In: Proceedings of International Conference on Computer Processing of Oriental Languages, pp. 305–308 (2001)
Park, S.-Y., Kwak, Y.-J., Lim, J.-H., Rim, H.-C., Kim, S.-H.: Partially Lexicalized Parsing Model Utilizing Rich Features. In: Proceedings of the 8th International Conference on Spoken Language Processing, vol. 3, pp. 2201–2204 (2004)
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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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