A curated list of resources dedicated to text summarization
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Updated
Jan 9, 2023
A curated list of resources dedicated to text summarization
Automagically generates summaries from html or text.
Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.
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 summarizationof medical transcriptions
Source based extractive summarizer web-app and chatbot.
Extractive Text Summarizer, based on tf-idf text representation (an example)
A lightweight Extractive Summarization Formulation for the CNN Dataset
A script to process the ArXiv-PubMed dataset.
The repository include the evaluation code for the SumTO summarization system proposed for the FNS 2020 Shared Task
Código fonte da aplicação desenvolvida no meu PIBIC de 2019 a 2020, orientado pelo professor Dr. Hendrik Macedo. Este código executa a aplicação localmente.
Extractive Summarization of text using TF-IDF
Extractive text summarization application
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.
This Project provides you with a brief summary of the given Text. The Project allows you to paste or Upload PDF file to summarize it , It also allows you to customize the summarization % of the Final summary!
This is the implementation of text summarization using TextRank as described in the EMNLP - 2004 paper on TextRank: Bringing Order into Texts.
This is a simple extractive text summarization model, built ready to handle Nepali texts and generate its summary using Text-Rank algorithm
Implementation of Abstractive and Extractive Text Summarization using Google Pegasus and Google BERT respectively.
LSA and Text Rank Summarizers.
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