Thai NER 2.0

Thai Named Entity Recognition Corpus

This version was released at Hugging Face Hub, and the model was trained by WangchanBERTa base model.

Dataset

Size

• Train: 3,938 docs
• Validation: 1,313 docs
• Test: 1,313 Docs

Some data come from crowdsourcing between Dec 2018 - Nov 2019. https://github.com/wannaphong/thai-ner

Domain

• News (It, politics, economy, social)
• PR (KKU news)
• general

Source

• I use sone data from Nutcha’s theses (http://pioneer.chula.ac.th/~awirote/Data-Nutcha.zip) and improve data by rechecking and adding more tagging.
• Twitter
• Blognone.com - It news
• thaigov.go.th
• kku.ac.th

And more (the lists are lost.)

Tag

• DATA - date
• TIME - time
• EMAIL - email
• LEN - length
• LOCATION - Location
• ORGANIZATION - Company / Organization
• PERSON - Person name
• PHONE - phone number
• TEMPERATURE - temperature
• URL - URL
• ZIP - Zip code
• MONEY - the amount
• LAW - legislation
• PERCENT - PERCENT

Download: HuggingFace Hub

Model

The model was trained by WangchanBERTa base model.

Validation from the Validation set

• Precision: 0.830336794125095
• Recall: 0.873701039168665
• F1: 0.8514671513892494
• Accuracy: 0.9736483416628805

Test from the Test set

• Precision: 0.8199168093956447
• Recall: 0.8781446540880503
• F1: 0.8480323927622422
• Accuracy: 0.9724346779516247

Download: HuggingFace Hub