The results of toy example summaries and DUC corpus evaluated with different python libraries based on ROUGE metric
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Updated
Feb 5, 2020 - Jupyter Notebook
The results of toy example summaries and DUC corpus evaluated with different python libraries based on ROUGE metric
Study Uses LLMs to craft accurate, engaging headlines from Reddit Posts
First Use of Rouge 1.5.5 / pyrouge in Python
Houses the final project for Deep Learning (DS6050), University of Virginia
Collection of codes of Natural Language Processing college course
This project leverages FLAN-T5 from Hugging Face to perform dialogue summarization, fine-tuning with ROUGE, and detoxifying summaries using PPO and PEFT.
Automatic text summarization of news articles
This repository contains a detailed implementation of a Retrieval-Augmented Generation (RAG) model leveraging Azure and Azure OpenAI services.
Construction of a model to determine whether summaries of some news article were written by humans or machine generated.
This repository explores the use of advanced sequence-to-sequence networks and transformer models, such as BERT, BART, PEGASUS, and T5, for summarizing multi-text documents in the medical domain. It leverages extensive datasets like CORD-19 and a Biomedical Abstracts dataset from Hugging Face to fine-tune these models.
Unsupervised approach for inducing dialogue schemas from domain-specific conversations. This repository houses the source code and research findings from the application of cutting-edge NLP and ML techniques to dialogue systems.
The work presented was developed during the internship, as researchers in the field of Natural Language Generation, at the Insid&s Lab laboratory in Milan-Bicocca. The work carried out deals with the creation of a framework for the correct assessment of the impact of the quality of the input datasets on the quality of the text generated by the N…
Python ROUGE implementation 🦁
A library for evaluating Retrieval-Augmented Generation (RAG) systems
A benchmark of ChatGPT and some of its challengers on summarization task
A model inspired from the famous Show and Tell Model is implemented for automatic image captioning.
Python implementation for evaluating summarization by ROUGE package
Calculating ROUGE score for Korean (Wrapper for ROUGE-1.5.5.pl script)
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