A curated list of resources dedicated to text summarization
Deep Reinforcement Learning For Sequence to Sequence Models
Multiple implementations for abstractive text summurization , using google colab
Abstractive summarisation using Bert as encoder and Transformer Decoder
This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Abstractive Text Summarization using Transformer
ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
[AAAI2021] Unsupervised Opinion Summarization with Content Planning
Gazeta: Dataset for automatic summarization of Russian news / Газета: набор данных для автоматического реферирования на русском языке
[ACL-IJCNLP 2021] Self-Supervised Multimodal Opinion Summarization
[ACL2020] Unsupervised Opinion Summarization with Noising and Denoising
An optimized Transformer based abstractive summarization model with Tensorflow
Pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks (2017) by Abigail See et al.
non-anonymized cnn/dailymail dataset for text summarization
Generates summary of a given news article. Used attention seq2seq encoder decoder model.
Speaker Diarization + Speech to text + abstract summerization
Abstractive Summarization in the Nepali language
tensorflow2 implementation of se2seq with attention for context generation
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