A segment-based annotation tool for Korean treebanks with minimal human intervention

So Young Park; Young In Song; Hae Chang Rim

doi:10.1007/s10579-007-9029-5

A segment-based annotation tool for Korean treebanks with minimal human intervention

So Young Park, Young In Song, Hae Chang Rim

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we propose a segment-based annotation tool providing appropriate interactivity between a human annotator and an automatic parser. The proposed annotation tool provides the preview of a complete sentence structure suggested by the parser, and updates the preview whenever the annotator cancels or selects each segmentation point. Thus, the annotator can select the proper sentence segments maximizing parsing accuracy and minimizing human intervention. Experimental results show that the proposed tool allows the annotator to be able to reduce human intervention by approximately 39% compared with manual annotation. Sejong Korean treebank, one of the large scale treebanks, was constructed with the proposed annotation tool.

Original language	English
Pages (from-to)	281-289
Number of pages	9
Journal	Language Resources and Evaluation
Volume	40
Issue number	3-4
DOIs	https://doi.org/10.1007/s10579-007-9029-5
Publication status	Published - 2006 Dec

Bibliographical note

Funding Information:
Acknowledgments This work was supported partly by grant R01-2006-000-11162-0 from the Korea Science & Engineering Foundation’s Basic Research Program and partly by the second stage of the BK-21 project.

Keywords

Annotation tool
Minimal human intervention
Parsing
Treebank

ASJC Scopus subject areas

Language and Linguistics
Education
Linguistics and Language
Library and Information Sciences

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10.1007/s10579-007-9029-5

Cite this

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A segment-based annotation tool for Korean treebanks with minimal human intervention

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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