Sökning: "Textgenerering"

Visar resultat 1 - 5 av 15 uppsatser innehållade ordet Textgenerering.

1. 1. Generating Wikipedia Articles with Grammatical Framework : A Case Study

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Keivan Matinzadeh; [2023]
   Nyckelord :Grammatical Framework; Computational Linguistics; Natural Language Generation; Computer Science; Grammatical Framework; Beräkningslingvistik; Textgenerering; Datavetenskap;

   Sammanfattning : Natural language generation is a method used to produce understandable texts in human languages from data [1]. Grammatical Framework is a grammar formalism and a functional programming language using a nonstatistical approach to build natural language applications. LÄS MER

3. 2. Evaluating Text Summarization Models on Resumes : Investigating the Quality of Generated Resume Summaries and their Suitability as Resume Introductions

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Sammanfattning : 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. LÄS MER

4. 3. Fine-Tuning Pre-Trained Language Models for CEFR-Level and Keyword Conditioned Text Generation : A comparison between Google’s T5 and OpenAI’s GPT-2

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Quintus Roos; [2022]
   Nyckelord :Transformed-based Pre-trained Language Models; Natural Language Processing; Natural Language Generation; Conditional Text Generation; Text Classification; Fine-tuning; English Language Learning.; Transformbaserade förtränade språkmodeller; naturlig språkbehandling; naturlig språkgenerering; betingad textgenerering; finjustering; instruktionsjustering; engelska inlärning.;

   Sammanfattning : This thesis investigates the possibilities of conditionally generating English sentences based on keywords-framing content and different difficulty levels of vocabulary. It aims to contribute to the field of Conditional Text Generation (CTG), a type of Natural Language Generation (NLG), where the process of creating text is based on a set of conditions. LÄS MER

5. 4. Transformer-based Source Code Description Generation : An ensemble learning-based approach

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mantzaris Antonios; [2022]
   Nyckelord :Natural Language Processing; Code Summarization; Transformers; Text Generation; Ensemble Learning; BLEU; Naturlig språkbehandling; Kodsammanfattning; Transformatorer; Textgenerering; Ensemble Lärande; BLEU;

   Sammanfattning : Code comprehension can be significantly benefited from high-level source code summaries. For the majority of the developers, understanding another developer’s code or code that was written in the past by them, is a timeconsuming and frustrating task. LÄS MER

7. 5. Medical image captioning based on Deep Architectures

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Georgios Moschovis; [2022]
   Nyckelord :Artificial Neural Networks; Deep Learning; Speech and language technology; Natural Language Processing NLP ; Deep networks; Generative deep networks; Convolutional neural networks CNN ; Text generation; Information retrieval; Diagnostic captioning; Image captioning; concept prediction; classification; image encoders; transformers; Encoder-Decoder architecture; abstractive summarization; Neurala nätverk; Djup inlärning; Tal-och språkteknologi; naturlig språkbehandling; djup neurala nätverk; generativa djupa nätverk; konvolutionella neurala nätverk; Textgenerering; Informationssökning; Diagnostisk textning; Bildtextning; konceptförutsägelse; klassificering; bildkodare; transformatorer; kodaravkodararkitektur; abstrakt sammanfattning;

   Sammanfattning : Diagnostic Captioning is described as “the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination” [59] and it can assist inexperienced doctors and radiologists to reduce clinical errors or help experienced professionals increase their productivity. In this context, tools that would help medical doctors produce higher quality reports in less time could be of high interest for medical imaging departments, as well as significantly impact deep learning research within the biomedical domain, which makes it particularly interesting for people involved in industry and researchers all along. LÄS MER