Search for dissertations about: "Natural Sciences Computer and Information Science Language Technology Computational Linguistics"

Showing result 1 - 5 of 12 swedish dissertations containing the words Natural Sciences Computer and Information Science Language Technology Computational Linguistics.

  1. 1. MaltParser -- An Architecture for Inductive Labeled Dependency Parsing

    Author : Johan Hall; Joakim Nivre; Welf Löwe; Martin Volk; Växjö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Dependency Parsing; Support Vector Machines; Machine Learning; Language technology; Språkteknologi; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

    Abstract : This licentiate thesis presents a software architecture for inductive labeled dependency parsing of unrestricted natural language text, which achieves a strict modularization of parsing algorithm, feature model and learning method such that these parameters can be varied independently. The architecture is based on the theoretical framework of inductive dependency parsing by Nivre \citeyear{nivre06c} and has been realized in MaltParser, a system that supports several parsing algorithms and learning methods, for which complex feature models can be defined in a special description language. READ MORE

  2. 2. Compound Processing for Phrase-Based Statistical Machine Translation

    Author : Sara Stymne; Lars Ahrenberg; Joakim Nivre; Alexander Fraser; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Machine translation; compounds; factored translation; statistical machine translation; computational linguistics; Computational linguistics; Datorlingvistik; Language technology; Språkteknologi; Computer science; Datavetenskap;

    Abstract : In this thesis I explore how compound processing can be used to improve phrase-based statistical machine translation (PBSMT) between English and German/Swedish. Both German and Swedish generally use closed compounds, which are written as one word without spaces or other indicators of word boundaries. READ MORE

  3. 3. Gender and representation : investigations of bias in natural language processing

    Author : Hannah Devinney; Henrik Björklund; Jenny Björklund; Christian Hardmeier; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NLP; natural language processing; gender bias; social impact of AI; gendered pronouns; neopronouns; gender studies; topic modeling; Computer Science; datalogi; computational linguistics; datorlingvistik; genusvetenskap; gender studies;

    Abstract : Natural Language Processing (NLP) technologies are a part of our every day realities. They come in forms we can easily see as ‘language technologies’ (auto-correct, translation services, search results) as well as those that fly under our radar (social media algorithms, 'suggested reading' recommendations on news sites, spam filters). READ MORE

  4. 4. Bootstrapping Named Entity Annotation by Means of Active Machine Learning

    Author : Fredrik Olsson; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; corpus creation; data annotation; active learning; named entity recognition; machine learning; computational linguistics; natural language processing; information refinement;

    Abstract : This thesis describes the development and in-depth empirical investigation of a method, called BootMark, for bootstrapping the marking up of named entities in textual documents. The reason for working with documents, as opposed to for instance sentences or phrases, is that the BootMark method is concerned with the creation of corpora. READ MORE

  5. 5. Dialogue Behavior Management in Conversational Recommender Systems

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

    Abstract : 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. READ MORE