Topic: automatic-summarization Goto Github
Some thing interesting about automatic-summarization
Some thing interesting about automatic-summarization
automatic-summarization,The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
User: accel-brain
Home Page: https://accel-brain.co.jp
automatic-summarization,Evaluation and agreement scripts for the DISCOSUMO project. Each evaluation script takes both manual annotations as automatic summarization output. The formatting of these files is highly project-specific. However, the evaluation functions for precision, recall, ROUGE, Jaccard, Cohen's kappa and Fleiss' kappa may be applicable to other domains too.
Organization: discosumo
Home Page: http://discosumo.ruhosting.nl
automatic-summarization,Machine learning models to automatically summarise scientific papers
User: edco95
automatic-summarization,Automatic summarizer text in Swift
User: fdzsergio
automatic-summarization,Tool to extracts the text from a web article urls and get frequency words, entities recognition, automatic summary and more
User: gdamdam
automatic-summarization,using feature maximisation for summarizing scientifc documents
User: hazemalsaied
Home Page: https://goo.gl/khmTai
automatic-summarization,A script to process the ArXiv-PubMed dataset.
User: hhousen
automatic-summarization,A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
User: hhousen
Home Page: https://haydenhousen.com/projects/docsum/
automatic-summarization,Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
User: hhousen
Home Page: https://transformersum.rtfd.io
automatic-summarization,A Web app for automatic summarization
User: igorbpf
automatic-summarization,Google chrome extension which summarizes news web pages.
User: igorbpf
automatic-summarization,Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.
User: kokikwbt
automatic-summarization,LinTO's NLP service: Extractive Summarization
Organization: linto-ai
automatic-summarization,Automatic summarisation of Medicines's Description
User: m0-k1
automatic-summarization,Multidocument summarization using the SumBasic implementation
User: mjip
automatic-summarization,GROUP 4. This repository contains the implementation of a Transformer-based model for abstractive text summarization and a rule-based approach for extractive text summarization.
User: mohankrishnagr
Home Page: http://text-summarizer.bqegenbyedfzhpa3.centralindia.azurecontainer.io:8000/
automatic-summarization,This repository contains the implementation of a Transformer-based model for abstractive text summarization and a rule-based approach for extractive text summarization.
User: mohankrishnagr
Home Page: http://mohankrishnagr.centralindia.azurecontainer.io:8000/
automatic-summarization,Data collection and resulting timelines for the paper Summarize Dates First: A Paradigm Shift in Timeline Summarization published at SIGIR 2021
User: morenolaquatra
automatic-summarization,Code for paper 'Summary Refinement through Denoising'
User: ninikolov
automatic-summarization,The Internet plays an increasingly important part in our daily lives as a source of written content for news and leisure. Yet it is tedious and difficult to sort through this staggering flow of information and stay updated with changes in our world, even using automated tools. Reading magazines and newspapers is too time-consuming, and there is a huge amount of online content that is updated or generated each minute. Our solution considers each user’s interests and leverages Artificial Intelligence, Machine Learning and Natural Language Processing in order to suggest to relevant articles from the internet.
User: saidziani
automatic-summarization,Автоматическое реферирование текста (TextRank, mBART)
User: saltysugar32
automatic-summarization,MOTS (MOdular Tool for Summarization) is a summarization system, written in Java. It is as modular as possible, and is intended to provide an architecture to implement and test new summarization methods, as well as to ease comparison with already implemented methods, in an unified framework.
User: toolautomaticsum
Home Page: http://linc.iut.univ-paris8.fr/asadera/index.php/le-projet-asadera/
automatic-summarization,MOTS (MOdular Tool for Summarization) is a summarization system, written in Java. It is as modular as possible, and is intended to provide an architecture to implement and test new summarization methods, as well as to ease comparison with already implemented methods, in an unified framework.
User: toolautomaticsum
Home Page: http://linc.iut.univ-paris8.fr/asadera/index.php/le-projet-asadera/
automatic-summarization,Content Summary Generator
User: varunchitale
automatic-summarization,The repo contains resources from my Masters thesis
User: wchowdhu
automatic-summarization,Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments
User: wind-ward
automatic-summarization,微博自动摘要系统 Chinese Microblog Automatic Summary System
User: yogayu
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.