Multi News
Large-scale multi-document summarization dataset and code
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pegasus | 1,358 | 8 months ago | 91 | apache-2.0 | Python | |||||
| Scitldr | 631 | 10 months ago | 11 | apache-2.0 | Python | |||||
| Cnn Dailymail | 381 | 4 years ago | 20 | mit | Python | |||||
| Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization | ||||||||||
| Matchsum | 375 | a year ago | 16 | Python | ||||||
| Code for ACL 2020 paper: "Extractive Summarization as Text Matching" | ||||||||||
| Transformer Pointer Generator | 314 | 2 years ago | 8 | mit | Python | |||||
| A Abstractive Summarization Implementation with Transformer and Pointer-generator | ||||||||||
| Long Summarization | 255 | 9 months ago | 6 | apache-2.0 | Python | |||||
| Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents" | ||||||||||
| Ml4se | 206 | 25 days ago | 1 | |||||||
| A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering | ||||||||||
| Text Summarization Repo | 184 | a year ago | bsd-3-clause | |||||||
| 텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다. | ||||||||||
| Wikihow Dataset | 158 | 4 years ago | 5 | Python | ||||||
| A Large Scale Text Summarization Dataset | ||||||||||
| Video Summarization With Lstm | 150 | 6 years ago | 10 | other | Matlab | |||||
| Implementation of our ECCV 2016 Paper (Video Summarization with Long Short-term Memory) | ||||||||||
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Readme
Multi-News
Data and code for the ACL 2019 paper Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model.
Data
Preprocessed, but not truncated, data Preprocessed, truncated, data Raw data (only replaced \n with "NEWLINE_CHAR" and appended "|||||" to the end of each story). Raw data, bad retrievals removed -- Removes documents retrieved with error noticed in this issue and removes the "|||||" at the end of each example. Raw data -- zipped Tensorflow datasets
Models and Summaries
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Python
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Summarization