---
_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. <i>International
    Journal of Advanced Science and Technology</i>. 2018;112:123-136. doi:<a href="https://doi.org/10.14257/ijast.2018.112.12">10.14257/ijast.2018.112.12</a>
  apa: Kim, Y., Lee, S., Dollmann, M., &#38; Geierhos, M. (2018). Improving Classifiers
    for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.
    <i>International Journal of Advanced Science and Technology</i>, <i>112</i>, 123–136.
    <a href="https://doi.org/10.14257/ijast.2018.112.12">https://doi.org/10.14257/ijast.2018.112.12</a>
  bibtex: '@article{Kim_Lee_Dollmann_Geierhos_2018, title={Improving Classifiers for
    Semantic Annotation of Software Requirements with Elaborate Syntactic Structure},
    volume={112}, DOI={<a href="https://doi.org/10.14257/ijast.2018.112.12">10.14257/ijast.2018.112.12</a>},
    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.” <i>International Journal of Advanced Science and Technology</i> 112
    (2018): 123–36. <a href="https://doi.org/10.14257/ijast.2018.112.12">https://doi.org/10.14257/ijast.2018.112.12</a>.'
  ieee: Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic
    Annotation of Software Requirements with Elaborate Syntactic Structure,” <i>International
    Journal of Advanced Science and Technology</i>, vol. 112, pp. 123–136, 2018.
  mla: Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software
    Requirements with Elaborate Syntactic Structure.” <i>International Journal of
    Advanced Science and Technology</i>, vol. 112, SERSC Australia, 2018, pp. 123–36,
    doi:<a href="https://doi.org/10.14257/ijast.2018.112.12">10.14257/ijast.2018.112.12</a>.
  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'
...