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 <strong>Size</strong> 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 <strong>Domain</strong> News (It, politics, economy, social) PR (KKU news) general <strong>Source</strong> 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.) <strong>Tag</strong> 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