Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
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Updated
May 3, 2023 - Python
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
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.
Dataset and Codes for our EMNLP 2022 Main Conference Long Paper titled "ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts"
[EACL 2021] - Unsupervised Abstractive Summarization of Bengali Text Documents.
[Computer Speech & Language, Elsevier] - Neural Sentence Fusion for Diversity Driven Abstractive Multi-Document Summarization.
Gazeta: Dataset for automatic summarization of Russian news / Газета: набор данных для автоматического реферирования на русском языке
Dataset for abstractive summarization of long multimodal presentations
Specific-Aspect Summarization on News According to Social Sentiments on Twitter
Klexikon: A German Dataset for Joint Summarization and Simplification
This is the official PyTorch codebase for the ACL 2023 paper: "What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization".
M3LS : Multi-lingual Multi-modal summarization dataset
Code and data for the Dreyer et al (2023) paper on abstractiveness and factuality in abstractive summarization
In deep learning NLP, using a model we are trying to summarization the text.
Thai Crosslingual Summarization Datasets.
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