There are 10 repositories under extractive-summarization topic.
Easy to use extractive text summarization with BERT
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
The PyTorch Implementation of SummaRuNNer
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Lecture summarization with BERT
Datasets I have created for scientific summarization, and a trained BertSum model
Text summarization starting from scratch.
Abstractive and Extractive Text summarization using Transformers.
Automagically generates summaries from html or text.
Code and Data Repo for COLING'22 paper "Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization"
Code for ACL 2022 paper on the topic of long document summarization: MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes
Tensorflow implementation of SummaRuNNer
Source based extractive summarizer web-app and chatbot.
Automatic generation of reviews of scientific papers
Let AI create the notes of your Teams Meeting
Use-cases of Hugging Face's BERT (e.g. paraphrase generation, unsupervised extractive summarization).
A system capable of converting Nepali speech to text and generate summary of text
Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.
Simple and clean Python implementation of TextRank as per seminal paper by Rada Mihalcea and Paul Tarau. This implementation performs both keyword extraction as well as text summarization.
Functions for creating and analyzing word co-occurrence networks in Python and R
Shortens a paragraph of text with ChatGPT, using successive rounds of word-level extractive summarization.
Implementation for multi-document query-based abstractive summarisation
Extractive Multi-document Summarization
A script to process the ArXiv-PubMed dataset.
Facet-Aware Evaluation for Extractive Summarization, ACL 2020
Text Summarization with Pretrained Encoders
Extractive text summarization using various algorithms
Complimentary code for our paper From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization
Pointer network for extractive summarization
unsupervised graph-based ranking model
A new approach to extract clinical summaries from discharge notes
Simple Extractive Text Summarization using SpaCy, using a frequency model
KoBertSum: AI Hub 문서요약 텍스트에서 학습된 BertSum 기반의 한국어 요약 모델
This project is a versatile Optical Character Recognition (OCR) and translation tool designed to process both images and PDF documents and leveraging NLP to translate the text into different languages and give users an option to summarize the contents of a document in their prefered language