Calculating ROUGE score between two files (line-by-line)
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Updated
Jul 8, 2021 - Perl
Calculating ROUGE score between two files (line-by-line)
Python ROUGE Score Implementation for Chinese Language Task (official rouge score)
An implementation of ROUGE family metrics for automatic summarization.
A Python wrapper of the official ROUGE-1.5.5.pl script and a re-implementation of full ROUGE metrics.
Finetune GPT2 for text summarization
ROUGE L metric implementation using tensorflow ops
Calculating ROUGE score for Korean (Wrapper for ROUGE-1.5.5.pl script)
An graph-eval framework for LLM's
Novel data representation leading to granular citations and higher accuracy
A library for evaluating Retrieval-Augmented Generation (RAG) systems
Python implementation for evaluating summarization by ROUGE package
Fine-tuning GPT-3.5 and Llama3 LLMs for enhanced persona consistency in chatbots using Google's Synthetic Persona Chat dataset
Python ROUGE implementation 🦁
A benchmark of ChatGPT and some of its challengers on summarization task
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.
Agent Orchestration - LLM for Legal Metadata Extraction: A Comparative Analysis of Efficiency and Precision (paper 161 PROPOR)
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.
Implementation of an interactive chatbot for summarizing legal and policy documents. Includes data preprocessing (cleaning, tokenization, hierarchical chunking), extractive TF-IDF baselines, and fine-tuned abstractive models (DistilBART, LED). Integrates a retrieval layer for document relevance and uses ROUGE, BLEU, and cosine similarity metrics.
A model inspired from the famous Show and Tell Model is implemented for automatic image captioning.
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