Search for dissertations about: "latent semantic analysis LSA"

Found 3 swedish dissertations containing the words latent semantic analysis LSA.

  2. 1. Autobiographical Memory : Depending on sensory retrieval cue and gender

    Author : Kristina Petersén Karlsson; Fredrik Jönsson; Johan Willander; Sverker Sikström; Jonathan Koppel; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; autobiographical memory; sensory retrieval cues; age distribution; phenomenological ratings; latent semantic analysis LSA ; linguistic inquiry word count LIWC ; gender differences; Psychology; psykologi;

    Abstract : In my thesis I raised two questions: Does autobiographical memory differ i) depending on the sensory retrieval cue (Study I and II)? and ii) depending on gender (Study III)?Concerning retrieval cues, three unimodal cues (i.e., photographs, naturalistic sounds and odors) and one multimodal cue (i.e. READ MORE

  4. 2. Choice Blindness: The Incongruence of Intention, Action and Introspection

    Author : Petter Johansson; Kognitionsvetenskap; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Psykologi; Psychology; Filosofi; Philosophy; latent semantic analysis LSA ; intentional stance; folk psychology; change blindness; verbal report; self-knowledge; extrospection; introspection; action; Choice blindness; intention;

    Abstract : This thesis is an empirical and theoretical exploration of the surprising finding that people often may fail to notice dramatic mismatches between what they want and what they get, a phenomenon my collaborators and I have named choice blindness. The thesis consists of four co-authored papers, dealing with different aspects of the phenomenon. READ MORE

  5. 3. Language Modelling and Error Handling in Spoken Dialogue Systems

    Author : Genevieve Gorrell; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Language Modelling; Spoken Dialogue Systems; Error Handling; Computer science; Datavetenskap;

    Abstract : Language modelling for speech recognition is an area of research currently divided between two main approaches: stochastic and grammar-based approaches are each being differently preferred for their respective strengths and weaknesses. At the same time, dialogue systems researchers are becoming aware of the potential value of handling recognition failures better to improve the user experience. READ MORE