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

By utilizing advanced Natural Language Processing (NLP) pipelines and state-of-the-art video editing techniques, this project produces concise and informative summaries that effectively capture the essence of the original content through extractive summarization.

Complimentary code for our paper From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization

an extractive-based Text Summarizer making a summary out of sentences of great importance

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

Automatic Meeting Summarizer - Provide Speaker wise abstractive and extractive summary of meetings, given the audio input of meeting recording.

Implementation of various Extractive Text Summarization algorithms.

Código fonte da aplicação desenvolvida no meu PIBIC de 2019 a 2020, orientado pelo professor Dr. Hendrik Macedo. Este código executa a aplicação localmente.

Text Summarizer Application using Django

Extractive, Abstractive text/document summarizing system with Flask, capable of suggesting topics, detecting language, summary download and text-to-speech.

In this project a streamlit app is created in which user can upload any english language audio file to get its transcripts, sentiment analysis report, list of statements according to its nature like positive, negative or neutral and at last extractive summary of the whole audio.

A new approach to extract clinical summaries from discharge notes

Automating text summarization using machine learning techniques. Utilizing the Samsum dataset, our model generates concise summaries while retaining key information. Improves content comprehension and efficiency for information retrieval, content curation, and productivity enhancement.

Extractive Multi-document Summarization

This repository presents an in-depth study of SummaRuNNer (ablation and replacement study) and also presents SummaRuNNer's results on NYT50 and part of the French wikipedia, as well as the influence of the length of the summary in relation to the document on performance.

Generate summary for college application to aid the review process of the committee

New Implementation of BertSum for extractive summarization

KoBertSum: AI Hub 문서요약 텍스트에서 학습된 BertSum 기반의 한국어 요약 모델

Shortens a paragraph of text with ChatGPT, using successive rounds of word-level extractive summarization.

LinTO's NLP service: Extractive Summarization