Decision Tree Based Disambiguation of Semantic Roles for Korean Adverbial Postpositions
Summary :
The case postpositions usually have more than one semantic role in Korean. The adverbial postpositions among various postpositions especially make the development of Korean-based machine translation system difficult, because they have more semantic roles than others. In this paper, we describe a new method for resolving semantic ambiguities of adverbial postpositions using decision tree induction. The lack of training examples in decision tree induction is overcome by clustering words into classes using a kind of greedy algorithm. The cross validation results show that the presented method achieves 76.5% of accuracy on the average, which is 20.3% improvement over the baseline method.
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- IEICE TRANSACTIONS on Information Vol.E86-D No.8 pp.1459-1463
- Publication Date
- 2003/08/01
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- Online ISSN
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- Type of Manuscript
- LETTER
- Category
- Natural Language Processing
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Seong-Bae PARK, "Decision Tree Based Disambiguation of Semantic Roles for Korean Adverbial Postpositions" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 8, pp. 1459-1463, August 2003, doi: .
Abstract: The case postpositions usually have more than one semantic role in Korean. The adverbial postpositions among various postpositions especially make the development of Korean-based machine translation system difficult, because they have more semantic roles than others. In this paper, we describe a new method for resolving semantic ambiguities of adverbial postpositions using decision tree induction. The lack of training examples in decision tree induction is overcome by clustering words into classes using a kind of greedy algorithm. The cross validation results show that the presented method achieves 76.5% of accuracy on the average, which is 20.3% improvement over the baseline method.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_8_1459/_p
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@ARTICLE{e86-d_8_1459,
author={Seong-Bae PARK, },
journal={IEICE TRANSACTIONS on Information},
title={Decision Tree Based Disambiguation of Semantic Roles for Korean Adverbial Postpositions},
year={2003},
volume={E86-D},
number={8},
pages={1459-1463},
abstract={The case postpositions usually have more than one semantic role in Korean. The adverbial postpositions among various postpositions especially make the development of Korean-based machine translation system difficult, because they have more semantic roles than others. In this paper, we describe a new method for resolving semantic ambiguities of adverbial postpositions using decision tree induction. The lack of training examples in decision tree induction is overcome by clustering words into classes using a kind of greedy algorithm. The cross validation results show that the presented method achieves 76.5% of accuracy on the average, which is 20.3% improvement over the baseline method.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Decision Tree Based Disambiguation of Semantic Roles for Korean Adverbial Postpositions
T2 - IEICE TRANSACTIONS on Information
SP - 1459
EP - 1463
AU - Seong-Bae PARK
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2003
AB - The case postpositions usually have more than one semantic role in Korean. The adverbial postpositions among various postpositions especially make the development of Korean-based machine translation system difficult, because they have more semantic roles than others. In this paper, we describe a new method for resolving semantic ambiguities of adverbial postpositions using decision tree induction. The lack of training examples in decision tree induction is overcome by clustering words into classes using a kind of greedy algorithm. The cross validation results show that the presented method achieves 76.5% of accuracy on the average, which is 20.3% improvement over the baseline method.
ER -
English
