NER for Indian languages

Related tags

Deep LearningCL-NERIL
Overview

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages

Code for the paper - https://arxiv.org/abs/2111.11815

Setup

  1. Setup a virtual environment
  2. The implementation is based on Python 3.7. To install the dependencies used, run: pip install -r requirements.txt
  3. Run the code

Steps to run

  1. Add the aligned weakly labeled data for every target language to the corresponding aligned data directory. Sample data files for 3 Indian languages are provided.
  2. Download CoNLL-2003 English [en] data and save it to the 'en' directory in source/data. This is used for training the Teacher model.
  3. For training and evaluation, run as follows
$ cd source
$ ./scripts/run_clneril.sh

The results and logs will be stored in the output directory specified.

Citation

If you find this repo helpful, please cite the following:

@misc{prabhakar2021clneril,
      title={CL-NERIL: A Cross-Lingual Model for NER in Indian Languages}, 
      author={Akshara Prabhakar and Gouri Sankar Majumder and Ashish Anand},
      year={2021},
      eprint={2111.11815},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Credits

The code framework is adapted from Teacher-Student.

Owner
Akshara P
IT undergrad @ NITK, Surathkal
Akshara P
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