Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
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Updated
Jul 23, 2020 - Python
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
Abstractive summarisation using Bert as encoder and Transformer Decoder
A Abstractive Summarization Implementation with Transformer and Pointer-generator
Pointer-generator reinforced seq2seq summarization in PyTorch
Topic-Aware Convolutional Neural Networks for Extreme Summarization
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.
Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail
Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
FactSumm: Factual Consistency Scorer for Abstractive Summarization
ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
Text summarization starting from scratch.
Abstractive and Extractive Text summarization using Transformers.
Byte Cup 2018 International Machine Learning Contest (3rd prize)
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
Implementation of the paper "FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations (NAACL 2022)"
Codebase for the Summary Loop paper at ACL2020
Abstractive summarization leveraging opennmt
Abstractive text summarization by fine-tuning seq2seq models.
The code repository for NAACL 2021 paper "AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization".
Code for the ACL'17 paper: Jiwei Tan, Xiaojun Wan and Jianguo Xiao. Abstractive Document Summarization with a Graph-Based Attentional Neural Model
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