ANCHOLIK-NER: A benchmark dataset for Bangla regional named entity recognition.
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| Title: | ANCHOLIK-NER: A benchmark dataset for Bangla regional named entity recognition. |
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| Authors: | Paul B; Department of CSE, Southeast University, Dhaka, Bangladesh., Preotee FF; Department of CSE, Southeast University, Dhaka, Bangladesh., Sarker S; Department of CSE, Southeast University, Dhaka, Bangladesh., Refat SR; Department of CSE, Ahsanullah University of Science and Technology, Dhaka, Bangladesh., Islam S; Department of CSE, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh., Muhammad T; Department of CSE, Southeast University, Dhaka, Bangladesh., Hoque MA; Department of CSE, Southeast University, Dhaka, Bangladesh., Manzoor S; Department of CSE, Southeast University, Dhaka, Bangladesh. |
| Source: | PloS one [PLoS One] 2026 Feb 25; Vol. 21 (2), pp. e0342786. Date of Electronic Publication: 2026 Feb 25 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
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