non-anonymized cnn/dailymail dataset for text summarization
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Updated
May 30, 2017 - Python
non-anonymized cnn/dailymail dataset for text summarization
Text summarization with human feed-back
Abstractiv Text Summarization
An ai-as-a-service for abstractive text summarizaion
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Abstractive Summarization in the Nepali language
This repo contains the source code of the AMR (Abstract Meaning Representation) based approach for abstractive summarization. (ACL-SRW 2018)
Corner stone seq2seq with attention (using bidirectional ltsm )
Pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks (2017) by Abigail See et al.
tensorflow2 implementation of se2seq with attention for context generation
Abstractive Text Summarization of Amazon reviews. Using LSTM model summary of full review is abstracted
[ACL2020] Unsupervised Opinion Summarization with Noising and Denoising
Abstractive Text Summarization using Transformer model
Generates summary of a given news article. Used attention seq2seq encoder decoder model.
Multiple implementations for abstractive text summurization , using google colab
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
Use of Transformers for NLP tasks
Extractive and abstractive method
[Computer Speech & Language, Elsevier] - Neural Sentence Fusion for Diversity Driven Abstractive Multi-Document Summarization.
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