ai4bharat/IndicNER

🤗 Hugging Face 来源token-classificationmit3.3 GBother✓ 1 个校验和今天更新
帮助这个模型通过 Pirate Face 分发

模型卡、文件列表和校验和已在此收录。如果你持有文件并有权分享,可以提交种子,让其他人从节点下载。

获取来源文件需要 Hugging Face 批准。
为此模型做种

IndicNER

IndicNER is a model trained to complete the task of identifying named entities from sentences in Indian languages. Our model is specifically fine-tuned to the 11 Indian languages mentioned above over millions of sentences. The model is then benchmarked over a human annotated testset and multiple other publicly available Indian NER datasets. The 11 languages covered by IndicNER are: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu.

Training Corpus

Our model was trained on a dataset which we mined from the existing Samanantar Corpus. We used a bert-base-multilingual-uncased model as the starting point and then fine-tuned it to the NER dataset mentioned previously.

Downloads

Download from this same Huggingface repo.

Update 20 Dec 2022: We released a new paper documenting IndicNER and Naamapadam. We have a different model reported in the paper. We will update the repo here soon with this model.

Usage

You can use this Colab notebook for samples on using IndicNER or for finetuning a pre-trained model on Naampadam dataset to build your own NER models.

Citing

If you are using IndicNER, please cite the following article:

@misc{mhaske2022naamapadam,
  doi = {10.48550/ARXIV.2212.10168},
  url = {https://arxiv.org/abs/2212.10168},
  author = {Mhaske, Arnav and Kedia, Harshit and Doddapaneni, Sumanth and Khapra, Mitesh M. and Kumar, Pratyush and Murthy, Rudra and Kunchukuttan, Anoop},
  title = {Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages}
  publisher = {arXiv},
  year = {2022},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

We would like to hear from you if:

  • You are using our resources. Please let us know how you are putting these resources to use.
  • You have any feedback on these resources.

License

The IndicNER code (and models) are released under the MIT License.

Contributors

This work is the outcome of a volunteer effort as part of the AI4Bharat initiative.

Contact