Enhancing traditional Chinese medical named entity recognition with Dyn-Att Net: a dynamic attention approach. [PDF]
PeerJ Comput SciHou J, Saad S, Omar N.
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A Chinese named entity recognition model incorporating recurrent cell and information state recursion. [PDF]
Sci RepHan Q, Ma J.
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RSRNeT: a novel multi-modal network framework for named entity recognition and relation extraction. [PDF]
PeerJ Comput SciWang M, Chen H, Shen D, Li B, Hu S.
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Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study. [PDF]
JMIR AIMajdik ZP +7 more
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A survey of named entity recognition and classification
Lingvisticae Investigationes, 2007This survey covers fifteen years of research in the Named Entity Recognition and Classification (NERC) field, from 1991 to 2006. We report observations about languages, named entity types, domains and textual genres studied in the literature. From the start, NERC systems have been developed using hand-made rules, but now machine learning techniques are
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GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer
North American Chapter of the Association for Computational Linguistics, 2023Named Entity Recognition (NER) is essential in various Natural Language Processing (NLP) applications. Traditional NER models are effective but limited to a set of predefined entity types.
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Few-Shot Named Entity Recognition via Meta-Learning
IEEE Transactions on Knowledge and Data Engineering, 2022Few-shot learning under the $N$N-way $K$K-shot setting (i.e., $K$K annotated samples for each of $N$N classes) has been widely studied in relation extraction (e.g., FewRel) and image classification (e.g., Mini-ImageNet). Named entity recognition (NER) is
J. Li, Billy Chiu, Shan Feng, Hao Wang
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MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition
Web Search and Data Mining, 2022In this paper, we study multimodal named entity recognition in social media posts. Existing works mainly focus on using a cross-modal attention mechanism to combine text representation with image representation.
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Nested Named Entity Recognition: A Survey
ACM Transactions on Knowledge Discovery from Data, 2022With the rapid development of text mining, many studies observe that text generally contains a variety of implicit information, and it is important to develop techniques for extracting such information.
Yu Wang, H. Tong, Ziye Zhu, Yun Li
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