CTB2STB

CCL2022 中 《句式结构树库的自动构建研究》 树库转换的源代码。

环境配置

• lxml
• openpyxl
• tqdm
• pandas 您可以通过下述方法配置环境:

pip install -r requirements.txt

使用

运行

您可以修改 run.sh 以便于在您的数据集上运行。

您也可以运行 run_sample.sh 以便在小样本 sample_data 上测试我们的树库转换。

人工标注数据转换

xml2tree_artificial.py
--inputdir /PATH/to/your/artificial/save/file/
--outputfile /PATH/to/your/artificial/result.txt

评估

python eval_tag.py 
--gold /PATH/to/your/artificial/result.txt
--pred /PATH/to/your/result.modi.process.txt
--save_txt  /PATH/to/your/txt
--save_excel /PATH/to/your/xlsx

引用

@inproceedings{xie-etal-2022-ctb2stb,
    title = "句式结构树库的自动构建研究",
    author = "谢, 晨晖 and
      胡, 正升 and
      杨, 麟儿 and
      廖, 田昕 and
      杨, 尔弘",
    booktitle = "第二十一届全国计算语言学学术会议",
    year = "2022"
}

Code for the paper "Automatic Construction of Sentence Pattern Structure Treebank" on CCL 2022.

Requirements

• lxml
• openpyxl
• tqdm
• pandas In order to install them, you can run this command:

pip install -r requirements.txt

Usage

Run on sample data

You can run run.sh on your own dataset.

Or run run_sample.sh on the small sample data under the sample_data folder.

Conversation on artificial annotated data

xml2tree_artificial.py
--inputdir /PATH/to/your/artificial/save/file/
--outputfile /PATH/to/your/artificial/result.txt

Evaluation

python eval_tag.py 
--gold /PATH/to/your/artificial/result.txt
--pred /PATH/to/your/result.modi.process.txt
--save_txt  /PATH/to/your/txt
--save_excel /PATH/to/your/xlsx

Citation

@inproceedings{xie-etal-2022-ctb2stb,
    title = "Automatic Construction of Sentence Pattern Structure Treebank",
    author = "Xie, Chenhui and
      Hu, Zhensheng and
      Yang, Liner and
      Liao, Tianxin and
      Yang, Erhong",
    booktitle = "Proceedings of the 21th Chinese National Conference on Computational Linguistics",
    year = "2022"
}