For making Tagtog annotation into csv dataset

Overview

tagtog_relation_extraction

  • for making Tagtog annotation into csv dataset

How to Use

On Tagtog

1. Go to Project > Downloads
2. Download all documents, using the button below Image

On Local

1. Place folders and files according to the structure specified below:

tagtog_relation_extraction
├──main.py
├──util.py
├──.gitignore
├──README.md
├──requirements.txt
└──Your_download_file_Name
   ├──annotations-legend.json
   ├──ann.json
   |  └──master
   |     └──pool/
   ├──plain.html
   |  └──pool/
   ├──guidelines.md
   └──README.md

2. Install other required packages

  • tqdm==4.62.3
  • pandas==1.1.5
  • beautifulsoup4==4.10.0
$ pip install -r $ROOT/tagtog_relation_extraction/requirements.txt

3. Run

$ python main.py --path Your_download_file_Name

Result

1. Dataset file (dataset.csv)

sentence: 가장 가능성이 높은 새 대안은 플랑크 상수를 통해 질량을 정의하는 방안이다.질량의 단위는 킬로그램 외에도 여러가지가 있는데, 그중 대표적인 단위가 바로 원자질량단위이다
sub_tag: {'word': '원자질량단위', 'start_idx': 85, 'end_idx': 90, 'type': 'POH'}
obj_tag: {'word': '플랑크 상수', 'start_idx': 17, 'end_idx': 22, 'type': 'POH'}
label: POH:no_relation'

2. File for checking answers (answer_check.csv)

  • csv file desgined for checking entity taggings and labels
  • example:
sentence: 가장 가능성이 높은 새 대안은 
   
    를 통해 질량을 정의하는 방안이다.질량의 단위는 킬로그램 외에도 여러가지가 있는데, 그중 대표적인 단위가 바로 
    
     이다	
sub_tag: POH
obj_tag: POH
label: POH:no_relation

    
   

Restrictions

  • Entity labels should follow the following form
SUBJ-{ENT_TYPE}-{RELATION_NAME}
OBJ-{ENT_TYPE}-{RELATION_NAME}
  • If this is not the case you might need some revision on the util.py file
Owner
hyeong
Data Analyst / AI Engineer CV:https://bit.ly/2YMgTXd
hyeong
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