Essays about: "Abstractive text summarization"
Showing result 1 - 5 of 15 essays containing the words Abstractive text summarization.
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1. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The advancements in abstractive summarization using Large Language Models (LLMs) have brought with it new challenges in evaluating the quality and faithfulness of generated summaries. This thesis explores a human-like automated method for evaluating news article summaries. READ MORE
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2. Contextual short-term memory for LLM-based chatbot
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The evolution of Language Models (LMs) has enabled building chatbot systems that are capable of human-like dialogues without the need for fine-tuning the chatbot for a specific task. LMs are stateless, which means that a LM-based chatbot does not have a recollection of the past conversation unless it is explicitly included in the input prompt. READ MORE
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3. A comparative study of automatic text summarization using human evaluation and automatic measures
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Automatic text summarization has emerged as a promising solution to manage the vast amount of information available on the internet, enabling a wider audience to access it. Nevertheless, further development and experimentation with different approaches are still needed. READ MORE
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4. Evaluating Text Summarization Models on Resumes : Investigating the Quality of Generated Resume Summaries and their Suitability as Resume Introductions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis aims to evaluate different abstractive text summarization models and techniques for summarizing resumes. It has two main objectives: investigate the models’ performance on resume summarization and assess the suitability of the generated summaries as resume introductions. READ MORE
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5. Metadata assisted finetuning with largepre-trained language models forabstractive text summarization : Multi-task finetuning with abstractive text summarization and categoryclassification
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Text summarization is time-consuming for humans to complete but is still required in many areas. Recent progress in machine learning research, especially in the natural language domain, has produced promising results. READ MORE