Sökning: "Natural Language Semantics"

Visar resultat 1 - 5 av 110 avhandlingar innehållade orden Natural Language Semantics.

  1. 1. Why the pond is not outside the frog? Grounding in contextual representations by neural language models

    Författare :Mehdi Ghanimifard; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computational linguistics; Language grounding; Spatial language; Distributional semantics; Computer vision; Language modelling; Vision and language; Neural language model; Grounded language model;

    Sammanfattning : In this thesis, to build a multi-modal system for language generation and understanding, we study grounded neural language models. Literature in psychology informs us that spatial cognition involves different aspects of knowledge that include visual perception and human interaction with the world. LÄS MER

  2. 2. Cross-language Ontology Learning : Incorporating and Exploiting Cross-language Data in the Ontology Learning Process

    Författare :Hans Hjelm; Martin Volk; Joakim Nivre; Philipp Cimiano; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Ontologies; Ontology learning; Distributional semantics; Knowledge acquisition; Text mining; Computational linguistics; Datorlingvistik; datorlingvistik; Computational Linguistics;

    Sammanfattning : An ontology is a knowledge-representation structure, where words, terms or concepts are defined by their mutual hierarchical relations. Ontologies are becoming ever more prevalent in the world of natural language processing, where we currently see a tendency towards using semantics for solving a variety of tasks, particularly tasks related to information access. LÄS MER

  3. 3. Multilingual text generation from structured formal representations

    Författare :Dana Dannélls; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Coherence; computational linguistics; coreference; corpus linguistics discourse structure; knowledge representation; language technology; lexical semantics; linked open data; multilingual natural language generation; natural language processing; ontology; semantic web.;

    Sammanfattning : This thesis aims to identify the optimal ways in which natural language generation techniques can be brought to bear upon the problem of processing a structured body of information in order to devise a coherent presentation of text content in multiple languages. We investigate how chains of referential expressions are realized in English, Swedish and Hebrew, and suggest several coreference strategies that can be used to generate coherent descriptions about paintings. LÄS MER

  4. 4. Semantic Spaces of Clinical Text : Leveraging Distributional Semantics for Natural Language Processing of Electronic Health Records

    Författare :Aron Henriksson; Hercules Dalianis; Martin Duneld; Jussi Karlgren; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; distributional semantics; random indexing; semantic space; electronic health records; clinical text; synonyms; diagnosis codes; adverse drug reactions; Computer and Systems Sciences; data- och systemvetenskap; IT for health; IT för hälsa; datorlingvistik; Computational Linguistics; datalogi; Computer Science;

    Sammanfattning : The large amounts of clinical data generated by electronic health record systems are an underutilized resource, which, if tapped, has enormous potential to improve health care. Since the majority of this data is in the form of unstructured text, which is challenging to analyze computationally, there is a need for sophisticated clinical language processing methods. LÄS MER

  5. 5. Word Representations for Emergent Communication and Natural Language Processing

    Författare :Mikael Kågebäck; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Extractive summarisation; Emergent communication; Deep reinforcement learning; Natural language processing; Word Representations; Deep learning; Machine learning; Artificial neural networks;

    Sammanfattning : The task of listing all semantic properties of a single word might seem manageable at first but as you unravel all the context dependent subtle variations in meaning that a word can encompass, you soon realize that precise mathematical definition of a word’s semantics is extremely difficult. In analogy, humans have no problem identifying their favorite pet in an image but the task of precisely defining how, is still beyond our capabilities. LÄS MER