Essays about: "sammanfattning av text"

Showing result 1 - 5 of 24 essays containing the words sammanfattning av text.

1. 1. Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development

   University essay from Försvarshögskolan

   Author : Carl Zaff; [2023]
   Keywords : Russian Equipment loss; Russo-Ukrainian War; Method development; Machine learning; Tesseract OCR; Oryxspioenkop; OSINT; Ryssland; Materielförlust; Rysk-ukrainska kriget; Metodutveckling; Maskininlärning; Tesseract OCR; Oryxspioenkop; OSINT;

   Abstract : Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. READ MORE

3. 2. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Celine Helgesson Hallström; [2023]
   Keywords : Natural Language Processing; Large Language Models; Automatic Text Evaluation; Text Summarization; Multilingualism; Naturlig Språkbehandling; Stora Språkmodeller; Automatisk Textutvärdering; Textsammanfattning; Flerspråkighet;

   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

4. 3. Efficient Sentiment Analysis and Topic Modeling in NLP using Knowledge Distillation and Transfer Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : George Malki; [2023]
   Keywords : Large Language Model; RoBERTa; Knowledge distillation; Transfer learning; Sentiment analysis; Topic modeling; Stor språkmodell; RoBERTa; Kunskapsdestillation; överföringsinlärning; Sentimentanalys; Ämnesmodellering;

   Abstract : This abstract presents a study in which knowledge distillation techniques were applied to a Large Language Model (LLM) to create smaller, more efficient models without sacrificing performance. Three configurations of the RoBERTa model were selected as ”student” models to gain knowledge from a pre-trained ”teacher” model. READ MORE

5. 4. Contextual short-term memory for LLM-based chatbot

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Mikael Lauri Aleksi Törnwall; [2023]
   Keywords : Chatbot; Artificial Intelligence; Machine Learning; Language Model; Large Language Model; GPT-3; Natural Language Processing; Text Summarization; Dialogue Summarization; Prompt Design; Prompt Programming; Chatbot; Artificiell Intelligens; Maskininlärning; Språkmodell; Stor Språkmodell; GPT-3; Naturlig Ppråkbehandling; Textsammanfattning; Sammanfattning av Dialog; Design för Inmatningsprompt; Inmatningsprompt Programmering;

   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

6. 5. 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)

   Author : Amanda Krohn; [2023]
   Keywords : Natural language processing; Abstractive text summarization; Transformer architecture; Fine-tuning; Resumes; Språkteknologi; Abstrakt textsammanfattning; Transformer-arkitektur; Finjustering; CV;

   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