Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
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May 26, 2025 - Python
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Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
machine-learning text-summarization summarization albert extractive-summarization automatic-summarization bert roberta transformer-models pytorch-lightning distilbert summarization-dataset
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 net…
reinforcement-learning deep-learning deep-reinforcement-learning q-learning lstm generative-adversarial-network semi-supervised-learning restricted-boltzmann-machine transfer-learning simulated-annealing deep-q-network automatic-summarization combinatorial-optimization quantum-monte-carlo auto-encoder quantum-annealing energy-based-model self-supervised-learning multi-agent-reinforcement-learning
Machine learning models to automatically summarise scientific papers
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
python nlp pdf machine-learning xml transformers bart text-summarization summarization xml-parser automatic-summarization abstractive-text-summarization abstractive-summarization
AI Text Summarization with Transformers and Rule-Based NLP 2026
nlp deep-learning pytorch transformer bart tf-idf datasets trainer automatic-summarization kmeans-clustering
Advanced Transformer Summarization Suite: Abstract & Extractive AI Models 2026
nlp deep-learning pytorch transformer bart tf-idf datasets trainer automatic-summarization kmeans-clustering
Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.
微博自动摘要系统 Chinese Microblog Automatic Summary System
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 …
javascript nlp machine-learning natural-language-processing react-native text-classification machine-translation recommendation-system profiling automatic-summarization
Tool to extracts the text from a web article urls and get frequency words, entities recognition, automatic summary and more
nlp nltk automatic-summarization content-extraction semantic-analysis sentence-extraction entity-recognition
This repository contains the implementation of a Transformer-based model for abstractive text summarization and a rule-based approach for extractive text summarization.
deep-learning bart text-summarization automatic-summarization pytorch-nlp transformer-models summarization-dataset
Automatic summarisation of Medicines's Description
data-science machine-learning text-mining data-mining deep-learning pandas-dataframe machine-learning-algorithms jupyter-notebook text-summarization summarization python-3 automatic-summarization tokenization text-summarizer text-summarisation nltk-python
A script to process the ArXiv-PubMed dataset.
python machine-learning extractive-summarization automatic-summarization extractive-text-summarization
Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments
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.
Content Summary Generator
information-retrieval text-mining data-mining gui information-extraction summarization text-processing unsupervised-learning automatic-summarization algortihm
LinTO's NLP service: Extractive Summarization
nlp nlp-machine-learning extractive-summarization automatic-summarization extractive-text-summarization automatic-summarisation
This AI-Powered News Portal, built on Django, generates live news articles on trending topics. Leveraging AI technology, the portal fetches live data from Google Trends to ensure real-time updates. The platform can be expanded to develop a comprehensive AI-powered news ecosystem.
intelligence django news ai news-feed artificial-intelligence automatic-summarization google-trends generative-ai news-generation
Data collection and resulting timelines for the paper Summarize Dates First: A Paradigm Shift in Timeline Summarization published at SIGIR 2021
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.
nlp deep-learning pytorch transformer bart tf-idf datasets trainer automatic-summarization kmeans-clustering
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