Sökning: "large language models"

Visar resultat 1 - 5 av 114 avhandlingar innehållade orden large language models.

1. 1. Understanding Large Language Models : Towards Rigorous and Targeted Interpretability Using Probing Classifiers and Self-Rationalisation

   Författare :Jenny Kunz; Marco Kuhlmann; Eva Blomqvist; Isabelle Augenstein; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Large language models (LLMs) have become the base of many natural language processing (NLP) systems due to their performance and easy adaptability to various tasks. However, much about their inner workings is still unknown. LÄS MER

3. 2. Natural Language Processing for Low-resourced Code-switched Colloquial Languages – The Case of Algerian Language

   Författare :Wafia Adouane; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Natural language processing; Deep neural networks; Low-resourced language; Colloquial language; Code-switch; Dialectal Arabic; User-generated data; Non-standardised orthography; Algerian language;

   Sammanfattning : In this thesis we explore to what extent deep neural networks (DNNs), trained end-to-end, can be used to perform natural language processing tasks for code-switched colloquial languages lacking both large automated data and processing tools, for instance tokenisers, morpho-syntactic and semantic parsers, etc. We opt for an end-to-end learning approach because this kind of data is hard to control due to its high orthographic and linguistic variability. LÄS MER

4. 3. The Virtual Language Teacher : Models and applications for language learning using embodied conversational agents

   Författare :Preben Wik; Björn Granström; Olov Engwall; Valerie Hazan; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Language learning; embodied conversational agents; speech technology; computer assisted language learning; computer assisted pronunciation training; Information technology; Informationsteknik; SRA - ICT; SRA - Informations- och kommunikationsteknik;

   Sammanfattning : This thesis presents a framework for computer assisted language learning using a virtual language teacher. It is an attempt at creating, not only a new type of language learning software, but also a server-based application that collects large amounts of speech material for future research purposes. LÄS MER

5. 4. The Search for Syntax : Investigating the Syntactic Knowledge of Neural Language Models Through the Lens of Dependency Parsing

   Författare :Artur Kulmizev; Joakim Nivre; Roger Levy; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; syntax; language models; dependency parsing; universal dependencies; Datorlingvistik; Computational Linguistics;

   Sammanfattning : Syntax — the study of the hierarchical structure of language — has long featured as a prominent research topic in the field of natural language processing (NLP). Traditionally, its role in NLP was confined towards developing parsers: supervised algorithms tasked with predicting the structure of utterances (often for use in downstream applications). LÄS MER

7. 5. Representation learning for natural language

   Författare :Olof Mogren; RISE; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

   Sammanfattning : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. LÄS MER