چکیده مقاله
Automatic text summarization has recently beenan essential task in natural language processing NLP However, the development of summarizing systems needsdatasets for proper evaluation This requirement is necessaryfor less resourced languages too In this research, the first andfree annotated corpus is produced and presented to evaluateabstract Kurdish text summarizing systems News articles onthis dataset have been utilized to collect the information Also,an abstract Kurdish text summarization model based on thetransformers has been developed for the first time to beevaluated by this dataset too The current work can be abaseline for future research
کلیدواژهها
نویسندگان
Fatemeh Daneshfar
Assistant ProfessorDepartment of Computer Engineeringand Information Technology,University of Kurdistan, Sanandaj, Iran
Pedram Yamini
Bachelor StudentDepartment of Computer Engineering andInformation Technology,University of Kurdistan, Sanandaj, Iran
Abouzar Ghorbani
PhD StudentFaculty of Computer Engineering,University of Isfahan,Isfahan, Iran
شیوه ارجاع
Daneshfar, Fatemeh and Yamini, Pedram and Ghorbani, Abouzar,1401,Construction of an Annotated Corpus for KurdishAbstractive Text Summarization,1st International Conference and 6th National Conference on Computers, information technology and applications of artificial intelligence
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی و ششمین کنفرانس ملی کامپیوتر، فناوری اطلاعات و کاربردهای هوش مصنوعی3 اسفند 1401 · اهواز