Named Entity Recognition (NER) is an important task in Natural Language Processing, as it is a key information extraction sub-task with numerous applications, such as information retrieval and machine ...

Abstract: Deep learning models have been widely applied and continuously developed in named entity recognition tasks. However, the training of most named entity recognition models relies on a large ...

The final, formatted version of the article will be published soon. The increasing frequency of disasters presents significant challenges for emergency response systems, particularly in identifying ...

MNER (Multimodal Named Entity Recognition) 是一个基于注意力机制的多模态命名实体识别模型，通过融合文本与图像信息实现更精准的实体识别。模型采用多层Transformer块深度理解图像特征（注意力层使用FlashAttention加速），结合文本编码器与图像编码器的优势，在社交 ...

A comprehensive set of Jupyter notebooks that take you from NLP fundamentals to advanced techniques. Covers text preprocessing, POS tagging, NER, sentiment analysis (with VADER), text classification, ...

Update, November 8, 9:46 a.m. ET: The GitHub repository and its forks have been taken down. The original story follows below. Just hours after Apple launched a revamped web interface for the App Store ...

Microsoft has released the source code for the GitHub Copilot Chat extension for VS Code under the MIT license. This provides the community access to the full implementation of the chat-based coding ...

Introduction: Named Entity Recognition (NER) plays a critical role in interprofessional collaboration (IPC) and education, providing a means to identify and classify domain-specific entities essential ...

Abstract: In recent years, Named Entity Recognition (NER), as a fundamental task in information extraction, has found wide applications across various domains, yet continues to face significant ...

Microsoft announced during its Build 2025 keynote that it will open source GitHub Copilot in Visual Studio Code, its lightweight, cross-platform code editor, while adding a plethora of new features to ...