yuanxiaosc/Entity-Relation-Extraction

• Named Entity रिकग्निशन और एक्सट्रैक्शन

अक्सर पूछे जाने वाले प्रश्न

• luopeixiang/named_entity_recognition

  luopeixiang/named_entity_recognition

  2,286GitHub पर देखें↗

  Named entity recognition is a natural language processing library that implements statistical and neural sequence labeling models to extract entities from text. The toolkit provides implementations for hidden Markov models, conditional random fields, and bidirectional recurrent neural networks combined with conditional random field layers. The library supports training machine learning models on annotated training corpora using maximum likelihood estimation for parameter and transition structure estimation. It includes ensemble majority voting consensus strategies to combine independent outpu

  Pythonbi-lstmbi-lstm-crfchinese-ner

  GitHub पर देखें↗2,286
• macanv/bert-bilstm-crf-ner

  macanv/BERT-BiLSTM-CRF-NER

  4,904GitHub पर देखें↗

  This project is a named entity recognition framework and TensorFlow-based natural language processing model. It provides a pipeline for adapting pre-trained language models to specific entity recognition and text classification tasks. The system implements a sequence labeling architecture that combines transformer-based embeddings with bidirectional sequence modeling and conditional random field decoding. It includes tools for fine-tuning model weights and training the network to identify and categorize entities within unstructured text. The framework also includes a client-server architectu

  Python

  GitHub पर देखें↗4,904
• facebook/duckling

  facebook/duckling

  4,292GitHub पर देखें↗

  Duckling is a deterministic named entity recognizer and natural language entity extractor. It transforms unstructured text into machine-readable data by mapping language-specific input strings to universal structured formats. The system utilizes a rule-based engine and composable language rules to resolve entities without relying on probabilistic models. It supports multilingual text parsing across various regional locales, employing a logic-driven approach to normalize diverse natural language expressions into standardized numeric values. The project covers the extraction and normalization

  Haskell

  GitHub पर देखें↗4,292
• ownthink/knowledgegraphdata

  ownthink/KnowledgeGraphData

  5,181GitHub पर देखें↗

  KnowledgeGraphData is a collection of structured datasets and corpora designed to provide a foundational layer for cognitive intelligence and artificial intelligence systems. It primarily consists of large-scale Chinese knowledge graph datasets, including entity-relation data and NLP training sets used to drive semantic understanding and automated question answering. The project focuses on the construction and export of massive entity-attribute-value graphs, organizing knowledge into portable formats. It provides specialized domain partitioning to tailor information retrieval for professional

  Python

  GitHub पर देखें↗5,181