Essays about: "Multi task learning"

Showing result 1 - 5 of 127 essays containing the words Multi task learning.

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

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

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

   Abstract : 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. READ MORE

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

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Yiu Kei Tang; [2023]
   Keywords : ;

   Abstract : 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. READ MORE

4. 3. Information Extraction for Test Identification in Repair Reports in the Automotive Domain

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Huang Jie; [2023]
   Keywords : text classification; information retrieval; contrastive learning; prompt-based fine-tuning; large language models;

   Abstract : The knowledge of tests conducted on a problematic vehicle is essential for enhancing the efficiency of mechanics. Therefore, identifying the tests performed in each repair case is of utmost importance. This thesis explores techniques for extracting data from unstructured repair reports to identify component tests. READ MORE

5. 4. Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees

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

   Author : Alexander Willemsen; [2023]
   Keywords : Behaviour Trees; Genetic Programming; Quality Diversity; Gedragsbomen; Genetische Programmering; Kwaliteitsdiversiteit; Beteendeträd; Genetisk Programmering; Kvalitetsmångfald;

   Abstract : One of the main purposes of the fields of Robotics and Artificial Intelligence is to develop solutions that can autonomously solve problems. An important part of this is synthesising behaviours of robots. Behaviour Trees are a tree structure that enables combining existing lower level behaviours into a high level behaviour through task switching. READ MORE

6. 5. Head-to-head Transfer Learning Comparisons made Possible : A Comparative Study of Transfer Learning Methods for Neural Machine Translation of the Baltic Languages

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Mathias Stenlund; [2023]
   Keywords : machine translation; transfer learning; Latvian; Lithuanian; low-resource languages; transformers; parent language; child language; comparative study;

   Abstract : The struggle of training adequate MT models using data-hungry NMT frameworks for low-resource language pairs has created a need to alleviate the scarcity of sufficiently large parallel corpora. Different transfer learning methods have been introduced as possible solutions to this problem, where a new model for a target task is initialized using parameters learned from some other high-resource task. READ MORE