A transformers based deep learning library for keyphrase identification from text documents.
transformerkp is:
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A deep learning keyphrase extraction and generation library. transformerkp allows you to train and apply state-of-the-art deep learning models for keyphrase extraction and generation from text documents.
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Transformer based framework. transformerkp framework builds directly on transformers, making it easy to train and evaluate your own transformer based keyphrase extraction and generation models and experiment with new approaches using different contextual embeddings.
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A dataset library for keyphrase extraction and generation. transformerkp has simple interfaces that allow you to download several benchmark datasets in the domain of keyphrase extraction and generation from Huggingface Datasets and readily use them for training and evaluating your models. It provides easy access to BIO tagged data for several datasets such as Inspec, NUS, WWW, KDD, KP20K, LDKP and many more suitable for training your keyphrase extraction model as a sequence tagger.
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An evaluation library for keyphrase extraction and generation. transformerkp implements several evaluation metrics for evaluating keyphrase extraction and generation models such as F1, F1@m. F1@k and helps to generate evaluation reports for your models.
Please email your questions or comments to Amardeep Kumar or Debanjan Mahata
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The MIT License (MIT)