extractive-text-summarization

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.

A lightweight Extractive Summarization Formulation for the CNN Dataset

Extractive summarizationof medical transcriptions

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 text summarization application

Extractive Text Summarizer, based on tf-idf text representation (an example)

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 is NLP based project, completed during FALL of 2020 for CSE 4022 - Natural Language Processing. Nepali Text Summarizer circulates on the idea of tf-idf and cosine similarity.

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 and abstractive method

The repository include the evaluation code for the SumTO summarization system proposed for the FNS 2020 Shared Task

This is the implementation of text summarization using TextRank as described in the EMNLP - 2004 paper on TextRank: Bringing Order into Texts.

Simple Extractive Text Summarization using SpaCy, using a frequency model

Extractive Summarization of text using TF-IDF

Text-Summarization

Collection of 100 news articles in Marathi along with their extractive text summaries.

A Tool for Gathering German News Articles and Generation of a ready-to-use Data Set for NLP Tasks

Use of Transformers for NLP tasks

Extractive Text Summerization

Text-Summarization using Python

Objective of this assignment is to extract textual data from SEC / EDGAR financial reports and perform text analysis to compute different variables .

Extracting topics using rules.