Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code is written in keras.

Related tags

Deep Learning CasRel-pytorch-reimplement
Overview

CasRel-pytorch-reimplement

Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code was written in keras.

Requirements

  • keras-bert
  • tensorflow-gpu
  • transformers

Dataset

  • CMED: CHIP-2020 中文医学文本实体关系抽取

Usage

  1. Get the pre-trained Chinese BERT model

    1. Download the vocab.txt of BERT-wwm
    2. Get the pre-trained BERT cache
    from transformers import *
model = BertModel.from_pretrained("hfl/chinese-bert-wwm")

    p.s. I use the chinese-bert-wwm here. You can also choose other pre-trained models like this

    p.p.s. the bert cache usually will be /home/your user name/.cache/torch/transformers

  2. Train the model

    python train.py

  3. Test the model

    python test.py

Results

CasRel-keras: test F1 45.59

CasRel-pytorch: test F1 47.59

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Comments
  • 环境配置&expected backend CUDA and dtype Float but got backend CUDA and dtype Long

    环境配置&expected backend CUDA and dtype Float but got backend CUDA and dtype Long

    我想请问一下您的cuda版本，pytorch版本，cudavision版本是什么？因为casrel本身的环境配置是tensorflow1.13.1，那么对应的cuda就是10.0，但是pytorch只有1.2以下是对应cuda10.0的，往上的版本都是对应9或者10.1，我现在运行代码的时候遇到一个问题：expected backend CUDA and dtype Float but got backend CUDA and dtype Long，网上搜到的可能的解决方法是把pytorch由1.2改为1.3，但是这样对应的cuda,tensorflow都要更改版本，所以想知道问题可能出在哪里？

    opened by Genjiz 4
  • ValueError: not enough values to unpack (expected 11, got 0)

    ValueError: not enough values to unpack (expected 11, got 0)

    您好！~打扰您了 我是NLP的初学者，很抱歉打扰您。在复现学习您的代码的过程中出现了ValueError: not enough values to unpack (expected 11, got 0)这个错误， image 我尝试输出了batch,是成功获取到值了的， image 在这个问题上困惑好几天了，我除了之前因为gdk的错误，在data_loader.py的36行左右在open函数加了encoding='UTF-8'，基本没做过改动。 image 如果大佬有时间的话 如果能给我些建议和指导，万分感谢！！！！！！！！！

    opened by 2019hong 2
  • 尝试添加一层bilstm失败，求教~~

    尝试添加一层bilstm失败，求教~~

    打扰您了！在您之前的指导下我成功跑出了您readme中的结果，之后想尝试在您已有的代码的基础上在头实体编码的地方，在bert后再接一层bilstm,但失败了。我的所有值都为0. image 我添加的方式是： image 是不能直接那么连接吗？还是我应该对后续的所有计算都进行调整？还是什么其他要学习和理解的地方？我现在有点没有头绪，给您添麻烦了，如果可以期待能获得您的指导和建议~~~

    opened by 2019hong 0
  • loss计算中的bug

    loss计算中的bug

    framework.py文件中，存在以下bug：

    if los.shape != mask.shape：
    mask= mask.unsqueeze(dim=-1) #应该加入该行代码，否则在后续求loss均值时，torch.sum(input_masks)， 计算的总数个数不齐全 mask= mask.repeat((1, 1, loss.size(2)))

    opened by yuanshengjun 0
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longlongman
longlongman
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