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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Updated
Apr 18, 2018 - Python
Code for the ACL'17 paper: Jiwei Tan, Xiaojun Wan and Jianguo Xiao. Abstractive Document Summarization with a Graph-Based Attentional Neural Model
[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization
Implementation of paper: "A Neural Attention Model for Sentence Summarization" in Theano
Pointer-generator reinforced seq2seq summarization in PyTorch
Pointer Generator Network: Seq2Seq with attention, pointing and coverage mechanism for abstractive summarization.
Code for our work "Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach"
Modified Code for ACL 2018 paper by Chen and Bansal for Query Focused Summarization
Text Summarization with Pretrained Encoders
[ACL2020] Unsupervised Opinion Summarization with Noising and Denoising
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
An end-to-end application for abstractive document summarization on top of TensorFlow, Flink-AI-Extended and Flink ML pipeline framework.
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
Abstractive text summarization by fine-tuning seq2seq models.
[Computer Speech & Language, Elsevier] - Neural Sentence Fusion for Diversity Driven Abstractive Multi-Document Summarization.
ELSA combines extractive and abstractive approaches to the automatic text summarization
[EACL 2021] - Unsupervised Abstractive Summarization of Bengali Text Documents.
The code repository for NAACL 2021 paper "AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization".
A Abstractive Summarization Implementation with Transformer and Pointer-generator
The source code for my bachelor's thesis "Abstractive Summarization of Meetings"
Implementation of the paper "Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters (NAACL 2021)"
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