Shypd.aiThe largest open index of AI toolsbert-extractive-summarizer is an Open Source tool for extractive text summarization using BERT. It leverages the HuggingFace Pytorch transformers library to embed sentences and apply clustering algorithms for efficient summarization.
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bert-extractive-summarizer is an open-source Python library designed for extractive text summarization, building upon the HuggingFace Pytorch transformers library. The tool operates by first embedding sentences from the input text and then employing a clustering algorithm to identify and extract sentences closest to the cluster centroids, forming a concise summary. It also incorporates coreference resolution techniques, utilizing the neuralcoref library, to enhance the coherence and context of the generated summaries. Users can customize various parameters, including the number of sentences or ratio for the summary, and integrate custom models or Sentence-BERT for diverse summarization needs. The library supports GPU acceleration via CUDA by default if available, and offers a Flask service with Docker support for easy deployment.
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