rouge-l
There are 12 repositories under rouge-l topic.
Maluuba/nlg-eval
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
kavgan/ROUGE-2.0
ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output.
Isaac-JL-Chen/rouge_chinese
Python ROUGE Score Implementation for Chinese Language Task (official rouge score)
bdusell/rougescore
Python implementation of ROUGE
Aldenhovel/bleu-rouge-meteor-cider-spice-eval4imagecaption
Evaluation tools for image captioning. Including BLEU, ROUGE-L, CIDEr, METEOR, SPICE scores.
VD44/Rouge-L-Tensorflow
ROUGE L metric implementation using tensorflow ops
rabbidave/Denzel-Crocker-Hunting-For-Fairly-Odd-Prompts
A serverless set of functions for evaluating whether incoming messages to an LLM system seem to contain instances of prompt injection; uses cascading cosine similarity and ROUGLE-L calculation against known good and bad prompts
Khamies/T5-Fine-tune-Wikihow-XSum
This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.
Arjun-Mota/hotel_reviews_summarization_with_huggingface_transformers
Text summarization of Hotel reviews using Huggingface Transformers T5 and Bart
DISCOSUMO/evaluation
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.
ksgr5566/News-Headline-Generator
A news headline generator finetuned on T5-base.
ragztigadi/Text-Summarizer-Project-
Text Summarizer is an NLP-driven application designed to provide concise summaries of large text documents. Leveraging advanced algorithms and machine learning techniques, this project streamlines the process of information retrieval, making it easier for users to grasp key points quickly.