---
_id: '2331'
abstract:
- lang: eng
text: A user generally writes software requirements in ambiguous and incomplete
form by using natural language; therefore, a software developer may have difficulty
in clearly understanding what the meanings are. To solve this problem with automation,
we propose a classifier for semantic annotation with manually pre-defined semantic
categories. To improve our classifier, we carefully designed syntactic features
extracted by constituency and dependency parsers. Even with a small dataset and
a large number of classes, our proposed classifier records an accuracy of 0.75,
which outperforms the previous model, REaCT.
article_type: original
author:
- first_name: 'Yeongsu '
full_name: 'Kim, Yeongsu '
last_name: Kim
- first_name: Seungwoo
full_name: Lee, Seungwoo
last_name: Lee
- first_name: Markus
full_name: Dollmann, Markus
id: '27578'
last_name: Dollmann
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation
of Software Requirements with Elaborate Syntactic Structure. International
Journal of Advanced Science and Technology. 2018;112:123-136. doi:10.14257/ijast.2018.112.12
apa: Kim, Y., Lee, S., Dollmann, M., & Geierhos, M. (2018). Improving Classifiers
for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.
International Journal of Advanced Science and Technology, 112, 123–136.
https://doi.org/10.14257/ijast.2018.112.12
bibtex: '@article{Kim_Lee_Dollmann_Geierhos_2018, title={Improving Classifiers for
Semantic Annotation of Software Requirements with Elaborate Syntactic Structure},
volume={112}, DOI={10.14257/ijast.2018.112.12},
journal={International Journal of Advanced Science and Technology}, publisher={SERSC
Australia}, author={Kim, Yeongsu and Lee, Seungwoo and Dollmann, Markus and Geierhos,
Michaela}, year={2018}, pages={123–136} }'
chicago: 'Kim, Yeongsu , Seungwoo Lee, Markus Dollmann, and Michaela Geierhos. “Improving
Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic
Structure.” International Journal of Advanced Science and Technology 112
(2018): 123–36. https://doi.org/10.14257/ijast.2018.112.12.'
ieee: Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic
Annotation of Software Requirements with Elaborate Syntactic Structure,” International
Journal of Advanced Science and Technology, vol. 112, pp. 123–136, 2018.
mla: Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software
Requirements with Elaborate Syntactic Structure.” International Journal of
Advanced Science and Technology, vol. 112, SERSC Australia, 2018, pp. 123–36,
doi:10.14257/ijast.2018.112.12.
short: Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced
Science and Technology 112 (2018) 123–136.
date_created: 2018-04-13T09:19:22Z
date_updated: 2022-01-06T06:55:49Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.14257/ijast.2018.112.12
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T15:16:29Z
date_updated: 2018-11-02T15:16:29Z
file_id: '5297'
file_name: 12.pdf
file_size: 586968
relation: main_file
success: 1
file_date_updated: 2018-11-02T15:16:29Z
has_accepted_license: '1'
intvolume: ' 112'
keyword:
- Software Engineering
- Natural Language Processing
- Semantic Annotation
- Machine Learning
- Feature Engineering
- Syntactic Structure
language:
- iso: eng
page: 123-136
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: International Journal of Advanced Science and Technology
publication_identifier:
eissn:
- 2207-6360
issn:
- 2005-4238
publication_status: published
publisher: SERSC Australia
quality_controlled: '1'
status: public
title: Improving Classifiers for Semantic Annotation of Software Requirements with
Elaborate Syntactic Structure
type: journal_article
user_id: '477'
volume: 112
year: '2018'
...