Please use this identifier to cite or link to this item:
Title: High precision treebanking - blazing useful trees using POS information
Authors: Tanaka, Takaaki
Bond, Francis
Oepen, Stephan
Fujita, Sanae
Keywords: DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics
Issue Date: 2005
Source: Tanaka, T., Bond, F., Oepen, S., & Fujita, S. (2005). High precision treebanking - blazing useful trees using POS information. Proceedings of the 43rd Annual Meeting of the ACL, 330-337.
Conference: Annual Meeting on Association for Computational Linguistics (43rd : 2005)
Abstract: In this paper we present a quantitative and qualitative analysis of annotation in the Hinoki treebank of Japanese, and investigate a method of speeding annotation by using part-of-speech tags. The Hinoki treebank is a Redwoods-style treebank of Japanese dictionary de nition sentences. 5,000 sentences are annotated by three different annotators and the agreement evaluated. An average agreement of 65.4% was found using strict agreement, and 83.5% using labeled precision. Exploiting POS tags allowed the annotators to choose the best parse with 19.5% fewer decisions.
DOI: 10.3115/1219840.1219881
Schools: School of Humanities and Social Sciences 
Rights: © 2005 ACL. This paper was published in Proceedings of the 43rd Annual Meeting of the ACL and is made available as an electronic reprint (preprint) with permission of Association for Computational Linguistics. The paper can be found at: [DOI:]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:HSS Conference Papers

Files in This Item:
File Description SizeFormat 
2005-acl-blaze.pdf294.74 kBAdobe PDFThumbnail

Page view(s) 5

Updated on Jul 19, 2024

Download(s) 10

Updated on Jul 19, 2024

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.