Sökning: "Jussi Karlgren"

Visar resultat 6 - 8 av 8 avhandlingar innehållade orden Jussi Karlgren.

  1. 6. The Word-Space Model : Using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces

    Författare :Magnus Sahlgren; Jussi Karlgren; Fabrizio Sebastiani; Stockholms universitet; []
    Nyckelord :;

    Sammanfattning : The word-space model is a computational model of word meaning that utilizes the distributional patterns of words collected over large text data to represent semantic similarity between words in terms of spatial proximity. The model has been used for over a decade, and has demonstrated its mettle in numerous experiments and applications. LÄS MER

  3. 7. Question Classification in Question Answering Systems

    Författare :Håkan Sundblad; Arne Jönsson; Jussi Karlgren; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Question classification; question answering; machine learning; taxonomy; evaluation; Computational linguistics; Datorlingvistik;

    Sammanfattning : Question answering systems can be seen as the next step in information retrieval, allowing users to pose questions in natural language and receive succinct answers. In order for a question answering system as a whole to be successful, research has shown that the correct classification of questions with regards to the expected answer type is imperative. LÄS MER

  4. 8. 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