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CompNet/conivel

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7 स्टार्स·2 फोर्क्स·Python·6 व्यूज़

Conivel

Dependencies are managed using Poetry. Use poetry install to install dependencies. You can then use poetry shell to obtain a shell with the created virtual environment activated.

Features

  • Knowledge Retrieval - Learning to rank context for entity recognition.
  • Named Entity Recognition - Learning to rank context for entity recognition.

स्टार हिस्ट्री

compnet/conivel के लिए स्टार हिस्ट्री चार्टcompnet/conivel के लिए स्टार हिस्ट्री चार्ट

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Conivel के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Conivel के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • jinyuanli0012/pgimJinYuanLi0012 का अवतार

    JinYuanLi0012/PGIM

    33GitHub पर देखें↗

    Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge

    Python
    GitHub पर देखें↗33
  • jinyuanli0012/rivegJinYuanLi0012 का अवतार

    JinYuanLi0012/RiVEG

    41GitHub पर देखें↗

    LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition

    Python
    GitHub पर देखें↗41
  • flairnlp/flairflairNLP का अवतार

    flairNLP/flair

    14,378GitHub पर देखें↗

    Flair is a transformer-based natural language processing framework used to build and train models for text classification and sequence tagging. It provides a specialized library for generating contextual text embeddings and performing linguistic analysis. The framework includes dedicated tools for named entity recognition, including the identification of specialized biomedical entities across multiple languages. It further supports entity linking to map identified text mentions to unique entries within general or biomedical knowledge bases. The project covers a broad range of language analys

    Python
    GitHub पर देखें↗14,378
  • zalandoresearch/flairzalandoresearch का अवतार

    zalandoresearch/flair

    14,378GitHub पर देखें↗

    Flair is a natural language processing framework for training and applying models for sequence labeling and text classification. It provides a system for generating word embeddings and identifying semantic entities within text. The framework includes a dedicated system for zero and few-shot learning, enabling text classification and entity extraction using minimal training examples by leveraging pre-trained knowledge. Its capabilities cover named entity recognition, sentiment analysis, and the training of specialized models using custom datasets. It also includes tooling for the visual highl

    Python
    GitHub पर देखें↗14,378
Conivel के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

compnet/conivel क्या करता है?

Dependencies are managed using Poetry. Use poetry install to install dependencies. You can then use poetry shell to obtain a shell with the created virtual environment activated.

compnet/conivel की मुख्य विशेषताएं क्या हैं?

compnet/conivel की मुख्य विशेषताएं हैं: Knowledge Retrieval, Named Entity Recognition।

compnet/conivel के कुछ ओपन-सोर्स विकल्प क्या हैं?

compnet/conivel के ओपन-सोर्स विकल्पों में शामिल हैं: jinyuanli0012/pgim — Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge. jinyuanli0012/riveg — LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition. zalandoresearch/flair — Flair is a natural language processing framework for training and applying models for sequence labeling and text… flairnlp/flair — Flair is a transformer-based natural language processing framework used to build and train models for text… llmware-ai/llmware — llmware is a Python framework for AI agent orchestration and model management, designed to coordinate multi-model… chatchat-space/langchain-chatchat — Langchain-Chatchat is a system for building retrieval-augmented generation applications and autonomous AI agents. It…