GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
使用Bert-BiLstm-CRF做中文命名实体识别,使用的数据集来自https://aistudio.baidu.com/aistudio/competition/detail/802/0/datasets - Trenx-J/BertForNER
Breadcrumbs Bert / CRF_Model.pyTop File metadata and controls Code Blame 253 lines (187 loc) · 8.96 KB Raw from typing import List, Optional import torch import torch.nn as nn class CRF(nn.Module): def __init__(self,num_tags : int = 2, batch_first:bool = True) -> None: if...
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
使用Bert-BiLstm-CRF做中文命名实体识别,使用的数据集来自https://aistudio.baidu.com/aistudio/competition/detail/802/0/datasets - Learning-0/BertForNER
Someone construct model with BERT, LSTM and CRF, like thisBERT-BiLSTM-CRF-NER, but in theory, the BERT mechanism has replaced the role of LSTM, so I think LSTM is redundant. For the performance, BERT+CRF is always a little better than single BERT in my experience. ...
基于BERT-BLSTM-CRF 序列标注模型 本项目基于谷歌官方的BERT:https://github.com/google-research/bert 对BERT进行迁移学习,扩展BLSTM-CRF使模型支持序列标注任务 中文分词 词性标注 命名实体识别 语义角色标注 环境配置 miniconda安装 $ wget -c http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh...
super(BertLstmCrf, self).__init__() self.bert_encoder = bert_model self.embedding_dim = embedding_dim self.hidden_dim = hidden_dim self.rnn_layers = rnn_layers self.lstm = None if rnn_layers > 0: self.lstm = nn.LSTM( embedding_dim, hidden_dim, num_layers=rnn_layers, bidirectional...