Large-scale multi-document summarization dataset and code
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Updated
May 8, 2023 - Python
Large-scale multi-document summarization dataset and code
SUPERT: Unsupervised multi-document summarization evaluation & generation
A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Code for "Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning", EMNLP 2020
Extractive Multi-document Summarization
LongT5-based model pre-trained on a large amount of unlabeled Vietnamese news texts and fine-tuned with ViMS and VMDS collections
[Computer Speech & Language, Elsevier] - Neural Sentence Fusion for Diversity Driven Abstractive Multi-Document Summarization.
An Automatic Answer Summariser developed using Python, PyTorch, and HuggingFace trained on Quora Dataset aimed at summarizing and providing a single answer to a question using answers from multiple users.
Abstractive multi-document summarization pipeline over the Multi-News dataset using three state-of-the-art seq2seq models: Pegasus-Large, BART-Large-CNN, and LED-Base-16384
Thesis project for the MSc "Language Technology" of the National and Kapodistrian University of Athens (NKUA)
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