Sökning: "Natural Language Parsing"

Visar resultat 21 - 25 av 38 avhandlingar innehållade orden Natural Language Parsing.

  1. 21. On control strategies and incrementality in unification-based chart parsing

    Författare :Mats Wirén; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Talspråk;

    Sammanfattning : This thesis is a compilation of three papers dealing with aspects of context-free- and unification-based chart parsing of natural language. The first paper contains a survey and an empirical comparison of rule-invocation strategies in context-free chart parsing. LÄS MER

  2. 22. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

    Författare :Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  3. 23. Three Studies on Model Transformations - Parsing, Generation and Ease of Use

    Författare :Håkan Burden; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : ABSTRACT Transformations play an important part in both software development and the automatic processing of natural languages. We present three publications rooted in the multi-disciplinary research of Language Technology and Software Engineering and relate their contribution to the literature on syntactical transformations. LÄS MER

  4. 24. Complexities of Order-Related Formal Language Extensions

    Författare :Martin Berglund; Frank Drewes; Henrik Björklund; Markus Holzer; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; complexity; automata; languages; order; shuffle; regular expressions; context-free; mildly context-sensitive; parsing; membership; algorithm analysis; Computer Science; datalogi;

    Sammanfattning : The work presented in this thesis discusses various formal language formalisms that extend classical formalisms like regular expressions and context-free grammars with additional abilities, most relating to order. This is done while focusing on the impact these extensions have on the efficiency of parsing the languages generated. LÄS MER

  5. 25. Complexity and expressiveness for formal structures in Natural Language Processing

    Författare :Petter Ericson; Henrik Björklund; Frank Drewes; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; graph grammars; formal languages; natural language processing; parameterized complexity; abstract meaning representation; tree automata; deterministic tree-walking transducers; mildly context-sensitive languages; hyperedge replacement; tree adjoining languages; minimally adequate teacher;

    Sammanfattning : The formalized and algorithmic study of human language within the field of Natural Language Processing (NLP) has motivated much theoretical work in the related field of formal languages, in particular the subfields of grammar and automata theory. Motivated and informed by NLP, the papers in this thesis explore the connections between expressibility – that is, the ability for a formal system to define complex sets of objects – and algorithmic complexity – that is, the varying amount of effort required to analyse and utilise such systems. LÄS MER