A Silver Standard Biomedical Corpus for Arabic Language
The rapidly growing data in many areas, as well as in the biomedical domain, require the assistance of information extraction systems to acquire the much needed knowledge about specific entities such as proteins, drugs, or diseases practically within a short time. Annotated corpora serve the purpose...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8896659 |
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| _version_ | 1849682897612570624 |
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| author | Nada Boudjellal Huaping Zhang Asif Khan Arshad Ahmad Rashid Naseem Lin Dai |
| author_facet | Nada Boudjellal Huaping Zhang Asif Khan Arshad Ahmad Rashid Naseem Lin Dai |
| author_sort | Nada Boudjellal |
| collection | DOAJ |
| description | The rapidly growing data in many areas, as well as in the biomedical domain, require the assistance of information extraction systems to acquire the much needed knowledge about specific entities such as proteins, drugs, or diseases practically within a short time. Annotated corpora serve the purpose of facilitating the process of building NLP systems. While colossal work has been done in this area for English language, other languages like Arabic seem to lack these resources, especially in the healthcare area. Therefore, in this work, we present a method to develop a silver standard medical corpus for the Arabic language with a dictionary as a minimal supervision tool. The corpus contains 49,856 sentences tagged with 13 entity types corresponding to a subset of UMLS (Unified Medical Language System) concept types. The evaluation of a subset of corpus showed the efficiency of the method used to annotate it with 90% accuracy. |
| format | Article |
| id | doaj-art-c99a1e6d85e84365a3d3ba4bb16862db |
| institution | DOAJ |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-c99a1e6d85e84365a3d3ba4bb16862db2025-08-20T03:24:03ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88966598896659A Silver Standard Biomedical Corpus for Arabic LanguageNada Boudjellal0Huaping Zhang1Asif Khan2Arshad Ahmad3Rashid Naseem4Lin Dai5School of Computer Science and Technology, Beijing Institute of Technology, Beijing, ChinaSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, ChinaSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, ChinaDepartment of Computer Science, City University of Science and Information Technology, Peshawar, PakistanDepartment of IT and Computer Science, Pak-Austria Fachhochschule: Institute of Applied Sciences & Technology, Haripur, PakistanSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, ChinaThe rapidly growing data in many areas, as well as in the biomedical domain, require the assistance of information extraction systems to acquire the much needed knowledge about specific entities such as proteins, drugs, or diseases practically within a short time. Annotated corpora serve the purpose of facilitating the process of building NLP systems. While colossal work has been done in this area for English language, other languages like Arabic seem to lack these resources, especially in the healthcare area. Therefore, in this work, we present a method to develop a silver standard medical corpus for the Arabic language with a dictionary as a minimal supervision tool. The corpus contains 49,856 sentences tagged with 13 entity types corresponding to a subset of UMLS (Unified Medical Language System) concept types. The evaluation of a subset of corpus showed the efficiency of the method used to annotate it with 90% accuracy.http://dx.doi.org/10.1155/2020/8896659 |
| spellingShingle | Nada Boudjellal Huaping Zhang Asif Khan Arshad Ahmad Rashid Naseem Lin Dai A Silver Standard Biomedical Corpus for Arabic Language Complexity |
| title | A Silver Standard Biomedical Corpus for Arabic Language |
| title_full | A Silver Standard Biomedical Corpus for Arabic Language |
| title_fullStr | A Silver Standard Biomedical Corpus for Arabic Language |
| title_full_unstemmed | A Silver Standard Biomedical Corpus for Arabic Language |
| title_short | A Silver Standard Biomedical Corpus for Arabic Language |
| title_sort | silver standard biomedical corpus for arabic language |
| url | http://dx.doi.org/10.1155/2020/8896659 |
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