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relation-extraction

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smilelight / lightNLP

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基于Pytorch和torchtext的自然语言处理深度学习框架，包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块，已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练、聊天机器人、机器翻译、文本摘要等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致调参，且有不少Bug～

python nlp deep-learning text-classification word2vec pytorch chinese pos skip-gram cbow language-model cws dependency-parsing srl relation-extraction sentence-similarity hierarchical-softmax torchtext negative-sampling nature-language-process
  • Updated Jan 10, 2020
  • Python
Relation-Classification-using-Bidirectional-LSTM-Tree

Sshanu / Relation-Classification-using-Bidirectional-LSTM-Tree

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TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

tree deep-learning neural-network tensorflow entities lstm tree-structure dependency-tree semeval lca relation-extraction bidirectional-lstm word-embedding lstm-networks relation-classification lstm-tree
  • Updated Apr 15, 2019
  • Jupyter Notebook

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