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information-extraction

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PaddleNLP
akari0216
akari0216 commented Sep 2, 2021

欢迎您反馈PaddleNLP使用问题,非常感谢您对PaddleNLP的贡献!
在留下您的问题时,辛苦您同步提供如下信息:

  • 版本、环境信息
    1)PaddleNLP和PaddlePaddle版本:请提供您的PaddleNLP和PaddlePaddle版本号,例如PaddleNLP 2.0.4,PaddlePaddle2.1.1
    2)系统环境:请您描述系统类型,例如Linux/Windows/MacOS/,python版本
  • 复现信息:如为报错,请给出复现环境、复现步骤
    paddle版本2.0.8 paddlenlp版本2.1.0
    建议,能否在paddlenlp文档中,整理列出各个模型的tokenizer是基于什么类别的based,如bert tokenizer是word piece的,xlnet tokenizer是sentence piece的,以及对应的输入输出样例
good first issue

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

  • Updated Jan 11, 2021
  • OpenEdge ABL

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