Sökning: "Natural Language Interaction"

Visar resultat 1 - 5 av 98 avhandlingar innehållade orden Natural Language Interaction.

  1. 1. Developing and Evaluating Language Tools for Writers and Learners of Swedish

    Författare :Ola Knutsson; Kerstin Severinson Eklundh; Viggo Kann; Teresa Cerratto Pargman; Lars Ahrenberg; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; interactive learning systems; error; feedback; human-computer interaction; grammar checking; grammaticality judgments; parsing; second language learning; Swedish; evaluation; user studies; language technology; computer assisted language learning; writing; language tools; interaktiva lärsystem; fel; återkoppling; grammatikkontroll; språkverktyg; människa-datorinteraktion; skrivande; andraspråksinlärning; grammatikalitetsbedömning; parsning; Language technology; Språkteknologi;

    Sammanfattning : Skrivande och skrivet språk är idag en viktig del av många människors liv, i datorns ordbehandlare, i e-postprogram och i chattkanaler på Internet. Skrivet språk har blivit mer eller mindre en förutsättning för människors dagliga kommunikation. Denna utveckling av samhället leder till ökade behov av att på olika sätt hantera text. LÄS MER

  3. 2. 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

  4. 3. Who is laughing now? Laughter-infused dialogue systems

    Författare :Vladislav Maraev; Göteborgs universitet; []
    Nyckelord :HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; laughter; dialogue systems; humour; machine learning; reasoning; natural language processing; artificial agents;

    Sammanfattning : This thesis paves the way for including laughter in spoken dialogue systems in a domain-general and linguistically valid way using computational linguistics tools and methods. The thesis is concerned with three main areas. The first area concerns the placement of laughter in relation to speech and other behaviours. LÄS MER

  5. 4. Robot Sound in Interaction : Analyzing and Designing Sound for Human-Robot Coordination

    Författare :Hannah Pelikan; Leelo Keevallik; Mathias Broth; Christian Licoppe; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Conversation analysis; Ethnomethodology; Human-robot interaction; Interaction design; Multimodality; Non-lexical sounds; Robot sound; Video analysis; Etnometodologi; Icke-lexikala ljud; Interaktionsanalys; Interaktionsdesign; Multimodalitet; Människa-robotinteraktion; Robotljud; Videoanalys;

    Sammanfattning : Robots naturally emit sound, but we still know little about how sound can serve as an interface that makes a robot’s behavior explainable to humans. This dissertation draws on insights about human practices for coordinating bodily activities through sound, investigating how they could inform robot design. LÄS MER

  7. 5. Dialogue Behavior Management in Conversational Recommender Systems

    Författare :Pontus Wärnestål; Arne Jönsson; Lars Degerstedt; Robert Dale; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Natural Language Interaction; Dialogue Systems; Recommender Systems; Dialogue Strategy Management; User Modeling; Preference Management; Computational linguistics; Datorlingvistik;

    Sammanfattning : This thesis examines recommendation dialogue, in the context of dialogue strategy design for conversational recommender systems. The purpose of a recommender system is to produce personalized recommendations of potentially useful items from a large space of possible options. LÄS MER