BGNER: A boundary guidance framework for enhanced named entity recognition
Abstract Named Entity Recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying text segments corresponding to real-world entities. Span-based NER methods, which treat each potential text segment as a candidate entity, have produced strong resul...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00059-6 |
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