--- _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' ...