Now showing items 1-10 of 10

  • Kutuzov, Andrei; Øvrelid, Lilja; Szymanski, Terrence; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
    Recent years have witnessed a surge of publications aimed at tracing temporal changes in lexical semantics using distributional methods, particularly prediction-based word embedding models. However, this vein of research ...
  • Lien, Jostein; Velldal, Erik; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2015)
    This paper describes a semi-supervised approach to improving statistical dependency parsing using dependency-based word clusters. After applying a baseline parser to unlabeled text, clusters are induced using K-means with ...
  • Velldal, Erik; Øvrelid, Lilja; Hohle, Petter (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
    This paper investigates interactions in parser performance for the two official standards for written Norwegian: Bokmål and Nynorsk. We demonstrate that while applying models across standards yields poor performance, ...
  • Solberg, Per Erik; Skjærholt, Arne; Øvrelid, Lilja; Hagen, Kristin; Johannessen, Janne Bondi (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2014)
    The Norwegian Dependency Treebank is a new syntactic treebank for Norwegian Bokmål and Nynorsk with manual syntactic and morphological annotation, developed at the National Library of Norway in collaboration with the ...
  • Ivanova, Angelina; Oepen, Stephan; Dridan, Rebecca; Flickinger, Dan; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2013)
    We compare three different approaches to parsing into syntactic, bi-lexical dependencies for English: a ‘direct’ data-driven dependency parser, a statistical phrase structure parser, and a hybrid, ‘deep’ grammar-driven ...
  • Hohle, Petter; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
    This paper reports on a suite of experiments that evaluates how the linguistic granularity of part-of-speech tagsets impacts the performance of tagging and syntactic dependency parsing. Our results show that parsing accuracy ...
  • Kutuzov, Andrei; Velldal, Erik; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2016)
    This paper studies how word embeddings trained on the British National Corpus interact with part of speech boundaries. Our work targets the Universal PoS tag set, which is currently actively being used for annotation of a ...
  • Kutuzov, Andrei; Velldal, Erik; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
    This paper deals with using word embedding models to trace the temporal dynamics of semantic relations between pairs of words. The set-up is similar to the well-known analogies task, but expanded with a time dimension. To ...
  • Kutuzov, Andrei; Velldal, Erik; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
    Recent studies have shown that word embedding models can be used to trace time-related (diachronic) semantic shifts for particular words. In this paper, we evaluate some of these approaches on the new task of predicting ...
  • Sand, Heidi; Velldal, Erik; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
    This paper describes the process of automatically adding synsets and hypernymy relations to an existing wordnet based on word embeddings computed for POStagged lemmas in a large news corpus, achieving exact match attachment ...