Sökning: "Multi-Task Learning"

Visar resultat 1 - 5 av 33 uppsatser innehållade orden Multi-Task Learning.

1. 1. Automatic Semantic Role Labelling (SRL) in Swedish

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Lucy Yang Buhr; [2023-10-05]
   Nyckelord :Semantic role labelling; SRL; transfer learning; multi-task learning; multilingual transfer; T5; mT5;

   Sammanfattning : In this paper, using deep learning networks, the first end-to-end semantic role labelling model (SRL) has been developed for Swedish texts. This Swedish SRL model can, with a given Swedish sentence, perform trigger identification, frame classification and argument extraction tasks automatically in a series. LÄS MER

3. 2. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Yiu Kei Tang; [2023]
   Nyckelord :;

   Sammanfattning : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. LÄS MER

4. 3. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

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

   Författare :Simon Ekman von Huth; [2023]
   Nyckelord :Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

   Sammanfattning : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. LÄS MER

5. 4. Metadata assisted finetuning with largepre-trained language models forabstractive text summarization : Multi-task finetuning with abstractive text summarization and categoryclassification

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Max Sjöblom; [2023]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

7. 5. Cross-Lingual and Genre-Supervised Parsing and Tagging for Low-Resource Spoken Data

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Iliana Fosteri; [2023]
   Nyckelord :dependency parsing; part-of-speech tagging; low-resource languages; transcribed speech; large language models; cross-lingual learning; transfer learning; multi-task learning; Universal Dependencies;

   Sammanfattning : Dealing with low-resource languages is a challenging task, because of the absence of sufficient data to train machine-learning models to make predictions on these languages. One way to deal with this problem is to use data from higher-resource languages, which enables the transfer of learning from these languages to the low-resource target ones. LÄS MER