我是一只可爱的胖虎

想问问KFOLD实体识别多个结果融合的代码是在哪个部分呢？我没有找到这部分的。

> @DeligientSloth > 从百度百科和互动百科获取的 谢谢回答，我还有一个问题，就是你们这里的实体还会跳转到互动百科业面，这里说用的词向量，我看了一下，词向量相似度tookkit下面的vec_API.py里面的。但是对应的跳转代码在哪里呢？这是通过词向量算出最接近的词，然后跳转到上面，相当于一个实体链接么？

> @DeligientSloth > > 词向量主要是用于实体分类的 谢谢，不知道你们有没有农业实体识别的BIO资源？

> > 请问测试数据是哪一份，之前没有搞过ctr，不知道对应什么经典数据集？ > > 你好，现在有找到测试集吗 没有哎

> 树的训练拟合的是残差，在训练单棵树的时候可以当成回归。 在xgboost时划分特征就是根据划分之后loss最小来决定是否划分以及选择最优划分点，请问xgboost和gbdt这两种策略有什么区别吗？为何gbdt不使用类似xgboost那样的策略

> Yes, exactly! thanks for your reply!! Further more, how do you construct those entity pairs without relationship? random sample from entity with relationship? or those entity pairs without relationship...

> Just combine entities in the sentence into pairs and check if there is relation between them in the KB. If not, label as „no relation“. Then randomly subsample the...

I have another question while train CNN model, an error occurs,my command code is: model_CNN train ../data/wikipedia-wikidata/enwiki-20160501/semantic-graphs-filtered-training.02_06.json ../data/wikipedia-wikidata/enwiki-20160501/semantic-graphs-filtered-validation.02_06.json error is shown as follow: super(MaskedConvolution1D, self).__init__(**kwargs) Traceback (most recent call last):...

I notice that some entities(left&right) non-continuous tokens, such as:"left": [0, 1, 18, 19], seems that 0,1 tokens represent "The", "game", 18,19 tokens represent "the", "game". They are the same entity,...

thanks, your MaskedConvolution1D class doesn't implement call method. i am not familiar with keras, will conduct parent class's __call__ method automatically? class MaskedConvolution1D(layers.Convolution1D): def __init__(self, **kwargs): self.supports_masking = True super(MaskedConvolution1D,...