A curated list of resources dedicated to text summarization
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Updated
Jan 9, 2023
A curated list of resources dedicated to text summarization
Multiple implementations for abstractive text summurization , using google colab
Deep Reinforcement Learning For Sequence to Sequence Models
Abstractive summarisation using Bert as encoder and Transformer Decoder
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Abstractive Text Summarization using Transformer
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.
ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
Pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks (2017) by Abigail See et al.
Abstractive Text Summarization using Transformer model
[ACL-IJCNLP 2021] Self-Supervised Multimodal Opinion Summarization
non-anonymized cnn/dailymail dataset for text summarization
Corner stone seq2seq with attention (using bidirectional ltsm )
tensorflow2 implementation of se2seq with attention for context generation
[AAAI2021] Unsupervised Opinion Summarization with Content Planning
Abstractiv Text Summarization
Abstractive Summarization in the Nepali language
Generates summary of a given news article. Used attention seq2seq encoder decoder model.
Speaker Diarization + Speech to text + abstract summerization
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