Python implementation for evaluating summarization by ROUGE package
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Updated
Aug 30, 2017 - Perl
Python implementation for evaluating summarization by ROUGE package
ROUGE L metric implementation using tensorflow ops
The results of toy example summaries and DUC corpus evaluated with different python libraries based on ROUGE metric
First Use of Rouge 1.5.5 / pyrouge in Python
A Python wrapper of the official ROUGE-1.5.5.pl script and a re-implementation of full ROUGE metrics.
Calculating ROUGE score between two files (line-by-line)
Finetune GPT2 for text summarization
Python ROUGE implementation 🦁
Construction of a model to determine whether summaries of some news article were written by humans or machine generated.
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…
Automatic text summarization of news articles
Python ROUGE Score Implementation for Chinese Language Task (official rouge score)
A model inspired from the famous Show and Tell Model is implemented for automatic image captioning.
Calculating ROUGE score for Korean (Wrapper for ROUGE-1.5.5.pl script)
An implementation of ROUGE family metrics for automatic summarization.
Houses the final project for Deep Learning (DS6050), University of Virginia
A benchmark of ChatGPT and some of its challengers on summarization task
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.
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