Search for dissertations about: "Dependency Structure"

Showing result 1 - 5 of 120 swedish dissertations containing the words Dependency Structure.

  1. 1. Tree Transformations in Inductive Dependency Parsing

    Author : Jens Nilsson; Joakim Nivre; Pierre Nugues; Växjö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Inductive Dependency Parsing; Dependency Structure; Tree Transformation; Non-projectivity; Coordination; Verb Group; Language technology; Språkteknologi; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

    Abstract : This licentiate thesis deals with automatic syntactic analysis, or parsing, of natural languages. A parser constructs the syntactic analysis, which it learns by looking at correctly analyzed sentences, known as training data. The general topic concerns manipulations of the training data in order to improve the parsing accuracy. READ MORE

  2. 2. Tree Transformations in Inductive Dependency Parsing

    Author : Jens Nilsson; Joakim Nivre; Pierre Nugues; Växjö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Inductive Dependency Parsing; Dependency Structure; Tree Transformation; Non-projectivity; Coordination; Verb Group; Language technology; Språkteknologi; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

    Abstract : This licentiate thesis deals with automatic syntactic analysis, or parsing, of natural languages. A parser constructs the syntactic analysis, which it learns by looking at correctly analyzed sentences, known as training data. The general topic concerns manipulations of the training data in order to improve the parsing accuracy. READ MORE

  3. 3. Transition-Based Natural Language Parsing with Dependency and Constituency Representations

    Author : Johan Hall; Joakim Nivre; Welf Löwe; Sandra Kübler; Växjö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Natural Language Parsing; Syntactic Parsing; Dependency Structure; Phrase Structure; Machine Learning; Computer science; Datavetenskap; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

    Abstract : Denna doktorsavhandling undersöker olika aspekter av automatisk syntaktisk analys av texter på naturligt språk. En parser eller syntaktisk analysator, som vi definierar den i denna avhandling, har till uppgift att skapa en syntaktisk analys för varje mening i en text på naturligt språk. READ MORE

  4. 4. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

    Author : Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; linguistic structure prediction; structured prediction; latent-variable model; semi-supervised learning; multilingual learning; cross-lingual learning; indirect supervision; partial supervision; ambiguous supervision; part-of-speech tagging; dependency parsing; named-entity recognition; sentiment analysis; Computational Linguistics; Datorlingvistik;

    Abstract : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. READ MORE

  5. 5. Transformation and Combination in Data-Driven Dependency Parcing

    Author : Jens Nilsson; Joakim Nivre; Ryan McDonald; Växjö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Natural Language Parsing; Dependency Parsing; Tree Transformation; Computer science; Datavetenskap; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

    Abstract : This thesis deals with automatic syntactic analysis of natural languagetext, also known as parsing. The parsing approach is data-driven, whichmeans that parsers are constructed by means of machine learning, lookingat training data in the form of annotated natural language sentences. The syntactic framework used in the thesis is dependency-based. READ MORE