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Named Entity Recognition Datasets: A Classification Framework
Named entity recognition as a fundamental task plays a crucial role in accomplishing some of the tasks and applications in natural language...
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Novel data augmentation for named entity recognition
Named entity recognition (NER) is a crucial Natural language processing (NLP) task used in applications like voice assistants, search engines,...
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A Research Toward Chinese Named Entity Recognition Based on Transfer Learning
To improve the performance of named entity recognition in the lack of well-annotated entity data, a transfer learning-based Chinese named entity...
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Chinese Named Entity Recognition method based on multi-feature fusion and biaffine
Chinese Named Entity Recognition (CNER) focuses on precisely identifying predefined structural categories in unstructured Chinese text. Most existing...
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Enhanced Chinese named entity recognition with multi-granularity BERT adapter and efficient global pointer
Named Entity Recognition (NER) plays a crucial role in the field of Natural Language Processing, holding significant value in applications such as...
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A Chinese named entity recognition model: integrating label knowledge and lexicon information
Chinese named entity recognition (CNER) is one of the important tasks in the field of information extraction. And different divisions of CNER for...
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An effective undersampling method for biomedical named entity recognition using machine learning
Biomedical-named entity recognition (Bio-NER) is a key task of biomedical natural language processing, which is performed on biomedical documents...
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Robustness of Named Entity Recognition Models
Transformer based models are gaining popularity on most of the Natural Language Processing (NLP) including sequence labeling task such like Named...
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Few-shot named entity recognition framework for forestry science metadata extraction
The effective utilization of accumulated forestry science papers is of paramount significance in enhancing our understanding of the current state of...
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A Survey of Low-Resource Named Entity Recognition
Named Entity Recognition, as one of the typical tasks of information extraction, has a wide range of applications. However, the difficulty of data...
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‘What’ and ‘Where’ both matter: dual cross-modal graph convolutional networks for multimodal named entity recognition
Multimodal named entity recognition (MNER) aims to use visual information to assist in extracting and classifying entities in the textual content....
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On development of multimodal named entity recognition using part-of-speech and mixture of experts
Multimodal Named Entity Recognition (MNER) is a fundamental task in the field of natural language processing for social media posts. Current MNER...
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An Association Rule Mining Method Based on Named Entity Recognition and Text Classification
Using massive text data, building a knowledge graph to implement in-depth association analysis and mining can help identify entities and make...
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An Attention Based Bi-LSTM DenseNet Model for Named Entity Recognition in English Texts
Named Entity Recognition (NER), a popular method that is used for recognizing entities that are present in a text document. It is a method for...
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Named Entity Recognition of Design Specification Integrated with High-Quality Topic and Attention Mechanism
Automatic extraction of key data from design specifications is an important means to assist in engineering design automation. Considering the...
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Named Entity Identification of Chinese Poetry and Wine Culture Based on ALBERT
The task of identifying Chinese named entities of Chinese poetry and wine culture is a key step in the construction of a knowledge graph and a...
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Multilingual Case-Insensitive Named Entity Recognition
Although capitalisation is an important feature for the Named Entity Recognition (NER) task, the NER input data is not always cased. Recent studies...
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DeepSpacy-NER: an efficient deep learning model for named entity recognition for Punjabi language
Named entity recognition is a technique for extracting named entities from text and classifying them into various entity types. There has been a lot...
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Investigation of Biomedical Named Entity Recognition Methods
Biomedical named-entity recognition is the process of identifying entity names such as disease, symptom, drug, protein, and chemical in biomedical...
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Transformer-Based Named Entity Recognition Model—Tamil Language
This work presents different transformer-based approaches to the named entity recognition problem in the Tamil language. The WikiANN-ta dataset is...