Topic: abstractive-text-summarization Goto Github
Some thing interesting about abstractive-text-summarization
Some thing interesting about abstractive-text-summarization
abstractive-text-summarization,ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
User: abrazinskas
abstractive-text-summarization,Text summarization with human feed-back
User: adrienbenamira
abstractive-text-summarization,Abstractive text summarisation using BART model on articles data.
User: ajnavneet
abstractive-text-summarization,Summarize the text entered by the user
User: akshantchaudhary09
abstractive-text-summarization,Extractive and abstractive method
User: alicanyuksel
abstractive-text-summarization,Transforming lengthy textual content into concise and meaningful summaries is the essence of this project. Leveraging the power of the Pegasus model, our abstractive text summarization repository aims to distill complex information into succinct and coherent summaries. Pegasus, state-of-the-art pre-trained model, excel in generating human like text
User: coding-enthusiast9857
abstractive-text-summarization,This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
User: csebuetnlp
abstractive-text-summarization,
Organization: deeperudite
abstractive-text-summarization,Pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks (2017) by Abigail See et al.
User: developer-zer0
abstractive-text-summarization,An optimized Transformer based abstractive summarization model with Tensorflow
User: domyounglee
abstractive-text-summarization,Implementation of an Attention-based LSTM Encoder-Decoder Approach for Abstractive Text Summarization
User: fork123aniket
abstractive-text-summarization,Abstractive text summarization generates a shorter version of a given sentence while attempting to preserve its contextual meaning. In our approach we model the problem using an attentional encoder decoder which ensures that the decoder focuses on the appropriate input words at each step of our generation.
User: gauravg-20
abstractive-text-summarization,YouTube Transcript Summarization over Flask: This back-end uses Flask framework to receive API calls from the client and then respond with the summarized text response. This API can work only on those YouTube videos which has well-formatted closed captions in it. The same backend also hosts a web version of the Summarizer.
User: gulshan986
Home Page: https://ytsum.herokuapp.com/web/
abstractive-text-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/
abstractive-text-summarization,Gazeta: Dataset for automatic summarization of Russian news / Газета: набор данных для автоматического реферирования на русском языке
User: ilyagusev
abstractive-text-summarization,Using various NLP libraries for Text Summarization
User: jannat0718
abstractive-text-summarization,Using a deep learning model that takes advantage of LSTM and a custom Attention layer, we create an algorithm that is able to train on reviews and existent summaries to churn out and generate brand new summaries of its own.
User: jaotheboss
abstractive-text-summarization,Speaker Diarization + Speech to text + abstract summerization
User: jaswanth-devarinti
abstractive-text-summarization,Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
User: jrc1995
abstractive-text-summarization,Extractive and Abstractive Text Summarization of US Supreme Court Opinions
User: karthiknara
abstractive-text-summarization,News Headline and Summary Generation through Abstractive Summarization: Project Repo for Adavanced Machine Learning (AML) course at Ashoka
User: kubershahi
abstractive-text-summarization,Abstractive Text Summarization using Transformer model
User: laurentveyssier
abstractive-text-summarization,Implementation of Abstractive and Extractive Text Summarization using Google Pegasus and Google BERT respectively.
User: letus21500
abstractive-text-summarization,non-anonymized cnn/dailymail dataset for text summarization
User: lipiji
abstractive-text-summarization,
User: mustafa-mun
abstractive-text-summarization,[ACL-IJCNLP 2021] Self-Supervised Multimodal Opinion Summarization
Organization: nc-ai
Home Page: https://aclanthology.org/2021.acl-long.33/
abstractive-text-summarization,Text Summarization using Abstractive text summarization
User: nehalmuthu
abstractive-text-summarization,Abstractiv Text Summarization
User: nikhibdg
abstractive-text-summarization,Text summarization algorithms using PySpark
User: prabhupavitra
abstractive-text-summarization,Summarizing text to extract key ideas and arguments
User: pthompso77
Home Page: http://cs.unca.edu/~pthompso
abstractive-text-summarization,perfroming abstractive text summariztion task using T5, and serving it via REST API
User: r-aryan
abstractive-text-summarization,[ACL2020] Unsupervised Opinion Summarization with Noising and Denoising
User: rktamplayo
abstractive-text-summarization,[AAAI2021] Unsupervised Opinion Summarization with Content Planning
User: rktamplayo
abstractive-text-summarization,Abstractive Text Summarization using Transformer
User: rojagtap
abstractive-text-summarization,Abstractive Summarization example done using Google's Pegasus Model
User: samreen-kazi
abstractive-text-summarization,Abstractive summarisation using Bert as encoder and Transformer Decoder
User: santhoshkolloju
abstractive-text-summarization,Abstractive Summarization in the Nepali language
User: sharad461
abstractive-text-summarization, Corner stone seq2seq with attention (using bidirectional ltsm )
User: shouryashashank
abstractive-text-summarization,Use of Transformers for NLP tasks
User: shreecharranr
abstractive-text-summarization,Generates summary of a given news article. Used attention seq2seq encoder decoder model.
User: soni-ratnesh
abstractive-text-summarization,Abstractive Text Summarization with T5, assessed using the ROUGE metrics 🌟📊
User: stha1122
abstractive-text-summarization,tensorflow2 implementation of se2seq with attention for context generation
User: swayam01
abstractive-text-summarization,[Computer Speech & Language, Elsevier] - Neural Sentence Fusion for Diversity Driven Abstractive Multi-Document Summarization.
User: tafseer-nayeem
abstractive-text-summarization,An ai-as-a-service for abstractive text summarizaion
User: theamrzaki
Home Page: http://eazymind.herokuapp.com/arabic_sum
abstractive-text-summarization,Multiple implementations for abstractive text summurization , using google colab
User: theamrzaki
Home Page: https://medium.com/@theamrzaki
abstractive-text-summarization,Abstractive Text Summarization of Amazon reviews. Using LSTM model summary of full review is abstracted
User: vaibhavz2402
abstractive-text-summarization,This repo contains the source code of the AMR (Abstract Meaning Representation) based approach for abstractive summarization. (ACL-SRW 2018)
User: vgupta123
Home Page: https://www.aclweb.org/anthology/P18-3011/
abstractive-text-summarization,Deep Reinforcement Learning For Sequence to Sequence Models
User: yaserkl
Home Page: https://arxiv.org/abs/1805.09461
abstractive-text-summarization,Prepare Text Reviews Summary
User: zohaibramzan
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.