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
您好，我直接在Anaconda的spyder里运行test.py文件，输入测试句子“一叶子面膜真不错”，结果是这样的：{'string': '一叶子面膜真不错', 'entities': []}，
这好像跟你的不一样...请问要run的话是要run 那两个ipynb文件吗
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