GitHub

extractive-text-summarization

This is the implementation of text summarization using TextRank as described in the EMNLP - 2004 paper on TextRank: Bringing Order into Texts.
IEEE

Text Summarization with LLM: A Comparison of Transformer and Non-Transformer Models

Abstract: Natural language processing, also known as NLP, relies heavily on assessing the quality of generated text, such as machine translations, summaries, and captions. Traditional assessment ...
IEEE

Improving Discharge Summary Generation through Clinical Text Summarization with QLoRA and LLMs

Abstract: The proposed system aims to automate discharge summary generation using Quantized Low-Rank Adaptation (QLoRA) and large language models (LLMs) to improve efficiency and reduce clinician ...
Frontiers

Divide and summarize: improve SLM text summarization

Introduction: Text summarization is a longstanding challenge in natural language processing, with recent advancements driven by the adoption of Large Language Models (LLMs) and Small Language Models ...
Frontiers

Text summarization method of argumentative discourse by combining the BERT-transformer model

Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...