{"article_type":"original","has_accepted_license":"1","file":[{"date_created":"2018-11-02T15:16:29Z","creator":"ups","content_type":"application/pdf","date_updated":"2018-11-02T15:16:29Z","file_name":"12.pdf","access_level":"closed","relation":"main_file","file_size":586968,"success":1,"file_id":"5297"}],"ddc":["000"],"doi":"10.14257/ijast.2018.112.12","quality_controlled":"1","status":"public","date_created":"2018-04-13T09:19:22Z","file_date_updated":"2018-11-02T15:16:29Z","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."}],"author":[{"first_name":"Yeongsu ","last_name":"Kim","full_name":"Kim, Yeongsu "},{"first_name":"Seungwoo","full_name":"Lee, Seungwoo","last_name":"Lee"},{"last_name":"Dollmann","full_name":"Dollmann, Markus","first_name":"Markus","id":"27578"},{"orcid":"0000-0002-8180-5606","full_name":"Geierhos, Michaela","last_name":"Geierhos","first_name":"Michaela","id":"42496"}],"user_id":"477","year":"2018","keyword":["Software Engineering","Natural Language Processing","Semantic Annotation","Machine Learning","Feature Engineering","Syntactic Structure"],"volume":112,"type":"journal_article","page":"123-136","date_updated":"2022-01-06T06:55:49Z","_id":"2331","language":[{"iso":"eng"}],"title":"Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure","publisher":"SERSC Australia","intvolume":" 112","publication_status":"published","publication_identifier":{"issn":["2005-4238"],"eissn":["2207-6360"]},"department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"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","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.","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","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.","short":"Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced Science and Technology 112 (2018) 123–136.","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.","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} }"},"publication":"International Journal of Advanced Science and Technology","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B1","_id":"9"}]}