Datasets I have created for scientific summarization, and a trained BertSum model
$ git clone https://github.com/Santosh-Gupta/ScientificSummarizationDataSets.gitModels to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
Abstractive summarisation using Bert as encoder and Transformer Decoder
Transformers εΊεΏ«ιε ₯ι¨ζη¨
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Data from GitHub Β· snapshot Sep 24, 2026