Search for dissertations about: "semantic network"

Showing result 1 - 5 of 56 swedish dissertations containing the words semantic network.

  1. 1. Antonyms in Context : A Corpus-Based Semantic Analysis of Swedish Descriptive Adjectives

    Author : Caroline Willners; Allmän språkvetenskap; []
    Keywords : HUMANIORA; HUMANITIES; Nordiska språk språk och litteratur ; Scandinavian languages and literature; WordNet; semantic frameword; semantic network; sentential co-occurrence; semantic range; adjectives; antnoymy; lexical semantics; corpus-based methods; Lexicology; Lexikologi; Grammar; semantics; semiotics; syntax; Grammatik; semantik; semiotik;

    Abstract : How are antonym relations acquired? What types of lexical information can be extracted from corpora and how? How can this information be encoded in a lexicon? The work in this book was developed within the framework of WordNet. A further elaborated lexical model is suggested, as well as methods for implementing it. READ MORE

  2. 2. Rethinking network management solutions : models, data-mining and self-learning

    Author : Stefan Wallin; Rolf Stadler; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Distribuerade datorsystem; Mobile and Pervasive Computing;

    Abstract : Network service providers are struggling to reduce cost while at the same time improving customer satisfaction. This thesis addresses three relevant underlying challenges to achievieng these goals: - managing an overwhelming flow of low-quality alarms - understanding the structure and quality of the delivered services - automation of service configurationAll of the these add to an operator's operational costs since manual work is required in order to understand the alarm and service status as well as for configuring new services. READ MORE

  3. 3. Resource efficient automatic segmentation of medical images

    Author : Minh Hoang Vu; Tommy Löfstedt; Tufve Nyholm; Anders Garpebring; Joakim Jonsson; Örjan Smedby; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; radiotherapy; medical imaging; deep learning; convolutional neural network; generative adversarial network; data augmentation; semantic segmentation; classification; activation map compression; radiofysik; radiation physics;

    Abstract : Cancer is one of the leading causes of death worldwide. In 2020, there were around 10 million cancer deaths and nearly 20 million new cancer cases in the world. Radiation therapy is essential in cancer treatments because half of the cancer patients receive radiation therapy at some point. READ MORE

  4. 4. Bridging the Semantic Gap between Sensor Data and Ontological Knowledge

    Author : Marjan Alirezaie; Amy Loutfi; Silvia Coradeschi; Pascal Hitzler; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Semantic Gap; Ontology; Knowledge Representation and Reasoning; Sensor Data; Informatik; Informatics;

    Abstract : The rapid growth of sensor data can potentially enable a better awareness of the environment for humans. In this regard, interpretation of data needs to be human-understandable. For this, data interpretation may include semantic annotations that hold the meaning of numeric data. READ MORE

  5. 5. A corpus-based contrastive study of the passive and related constructions in English and Swedish

    Author : Anna-Lena Fredriksson; Göteborgs universitet; []
    Keywords : HUMANIORA; HUMANITIES; passive construction; active; middle; intransitive; contrastive study; cross-linguistic study; corpus-based; parallel corpus; translation; Swedish; English; network; transitivity; animacy; agent; patient; fiction; non-fiction; theme-rheme;

    Abstract : The present study investigates the passive and related constructions in English and Swedish. It is a bi-directional study that uses empirical fiction and non-fiction material in the form of original texts and their translations from the English-Swedish Parallel Corpus. READ MORE