Term recognition using technical dictionary hierarchy

Jong Hoon Oh; Kyung Soon Lee; Key Sun Choi

Term recognition using technical dictionary hierarchy

Jong Hoon Oh
, Kyung Soon Lee
, Key Sun Choi

Department of Computer Science & Artificial Intelligence

Korea Advanced Institute of Science and Technology

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

In recent years, statistical approaches on ATR (Automatic Term Recognition) have achieved good results. However, there are scopes to improve the performance in extracting terms still further. For example, domain dictionaries can improve the performance in ATR. This paper focuses on a method for extracting terms using a dictionary hierarchy. Our method produces relatively good results for this task.

Original language	English
Journal	Proceedings of the Annual Meeting of the Association for Computational Linguistics
Volume	2000-October
State	Published - 2000
Event	38th Annual Meeting of the Association for Computational Linguistics, ACL 2000 - Hong Kong, China Duration: 2000.10.1 → 2000.10.8

Cite this

@article{01f41872f94348498b8f00d8d10590c3,

title = "Term recognition using technical dictionary hierarchy",

abstract = "In recent years, statistical approaches on ATR (Automatic Term Recognition) have achieved good results. However, there are scopes to improve the performance in extracting terms still further. For example, domain dictionaries can improve the performance in ATR. This paper focuses on a method for extracting terms using a dictionary hierarchy. Our method produces relatively good results for this task.",

author = "Oh, \{Jong Hoon\} and Lee, \{Kyung Soon\} and Choi, \{Key Sun\}",

note = "Publisher Copyright: {\textcopyright} 2000 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All Rights Reserved.; 38th Annual Meeting of the Association for Computational Linguistics, ACL 2000 ; Conference date: 01-10-2000 Through 08-10-2000",

year = "2000",

language = "English",

volume = "2000-October",

journal = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",

issn = "0736-587X",

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TY - JOUR

T1 - Term recognition using technical dictionary hierarchy

AU - Oh, Jong Hoon

AU - Lee, Kyung Soon

AU - Choi, Key Sun

PY - 2000

Y1 - 2000

N2 - In recent years, statistical approaches on ATR (Automatic Term Recognition) have achieved good results. However, there are scopes to improve the performance in extracting terms still further. For example, domain dictionaries can improve the performance in ATR. This paper focuses on a method for extracting terms using a dictionary hierarchy. Our method produces relatively good results for this task.

AB - In recent years, statistical approaches on ATR (Automatic Term Recognition) have achieved good results. However, there are scopes to improve the performance in extracting terms still further. For example, domain dictionaries can improve the performance in ATR. This paper focuses on a method for extracting terms using a dictionary hierarchy. Our method produces relatively good results for this task.

UR - https://www.scopus.com/pages/publications/38049036262

M3 - Conference article

AN - SCOPUS:38049036262

SN - 0736-587X

VL - 2000-October

JO - Proceedings of the Annual Meeting of the Association for Computational Linguistics

JF - Proceedings of the Annual Meeting of the Association for Computational Linguistics

T2 - 38th Annual Meeting of the Association for Computational Linguistics, ACL 2000

Y2 - 1 October 2000 through 8 October 2000

ER -

Term recognition using technical dictionary hierarchy

Abstract

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