BILSTM 实体识别代码

from utils.data_processor import DataProcessor, \
    convert_examples_to_features, BuildDataSet, \
    HMMDataProcessor
import  torch

def trans_features(input_text,word2id):
    # max_seq_length 一个句子最大的长度
    max_seq_length=64
    unk_token=''
    pad_token=''
    pad_token_label_id=-100
    text_list=[]
    for word in input_text:
      word_tokens = word2id.get(word)
      text_list.append(word_tokens)

    padding_length = max_seq_length - len(text_list)
    token_list =text_list+[word2id[pad_token]] * padding_length

    return token_list


def conver_index2tag(input_index):
    label_list=['O', 'B-NAME', 'E-NAME', 'B-CONT', 'I-CONT', 'E-CONT', 'B-RACE', 'E-RACE', 'B-TITLE', 'I-TITLE', 'E-TITLE', 'B-EDU', 'I-EDU', 'E-EDU', 'B-ORG', 'I-ORG', 'E-ORG', 'I-NAME', 'B-PRO', 'I-PRO', 'E-PRO', 'S-RACE', 'S-NAME', 'B-LOC', 'I-LOC', 'E-LOC', 'I-RACE', 'S-ORG']
    tag_list=[]
    for i in input_index:
        tag_list.append(label_list[i])
    return tag_list


def show(input_text,tag):
    output_list=[]
    for index ,word in enumerate (input_text):
        output_list.append([word,tag[index]])
    return output_list


if __name__ == '__main__':
    processor = DataProcessor(data_dir='./data', do_lower_case=True)
    word2id = processor.get_vocab()
    vocab_size = len(word2id)


    input_text = "张三，1978年6月14日出生于中国台湾省台北市，祖籍山东省临沂市城县，毕业于华冈艺校戏剧科"
    token_list = trans_features(input_text, word2id)
    print(token_list)

    model = torch.load('model-bilstm-2.pt',map_location='cpu')

    # 将模型切换到评估模式
    model.eval()

    # 使用模型进行推理

    token_tensor = torch.tensor(token_list, dtype=torch.int32)

    input_tensor_ids = token_tensor.clone().detach().type(torch.LongTensor).to('cpu')
    output = model(input_tensor_ids)
    predict_inedex = torch.argmax(output[0], dim=1)

    outcome=predict_inedex[:len(input_text)]
    print(input_text)
    print(outcome)
    tag=conver_index2tag(outcome)
    info = show(input_text, tag)
    # print(info)
    j=0
    for i in info:
        j=j+1
        print(i,end="")
        if j%10==0:
            print(" ")

结果