|Trial Data Ready||
|Training Data Ready||
|Evaluation Start||Jan 10 (Tue), 2023|
|Evaluation End||Jan 31 (Tue), 2023|
|System Description Paper Submission Due||Feb 1 (Wed), 2023|
|Notification to Authors||Mar 1 (Wed), 2023|
|Camera-ready Due||Apr 1 (Sat), 2023|
We have released a baseline system that fine-tunes the XLM-RoBERTa base model for each of the dataset.
This code repository provides the baseline approach for Named Entity Recognition (NER). In this repository the following functionalities are provided:
- CoNLL data readers
- Usage of any HuggingFace pre-trained transformer models
- Training and Testing through Pytorch-Lightning
We expect, this baseline can be the starting point from where the participants can start building their own systems.