A curated list of resources dedicated to text summarization
Automagically generates summaries from html or text.
Source based extractive summarizer web-app and chatbot.
Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.
A script to process the ArXiv-PubMed dataset.
Extractive summarizationof medical transcriptions
Simple Extractive Text Summarization using SpaCy, using a frequency model
A lightweight Extractive Summarization Formulation for the CNN Dataset
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.
Extractive Summarization of text using TF-IDF
This repository contains the source code written in Python for generating short crisp summaries of given long text. I used Amazon review dataset from Kaggle for this project. The short summaries are generated using Recurrent Neural Networks.
Extractive Text Summarizer, based on tf-idf text representation (an example)
Extractive text summarization application
Artificial Intelligence Laboratory (6th semester) course's project.
LinTO's NLP service: Extractive Summarization
BERT-based extractive summarizer for long legal document using a divide-and-conquer approach
The repository include the evaluation code for the SumTO summarization system proposed for the FNS 2020 Shared Task
Extractive Text Summarization using Integrated TextRank and BM25+ Algorithm
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