About this collection

Recent Submissions

  • Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules 

    Vulić, I; Mrkšić, N; Reichart, R; Ó Séaghdha, D; Young, S; Korhonen, A (Association for Computational Linguistics, 2017-08-01)
    Morphologically rich languages accentuate two properties of distributional vector space models: 1) the difficulty of inducing accurate representations for low-frequency word forms; and 2) insensitivity to distinct lexical ...
  • What’s missing in geographical parsing? 

    Gritta, M; Pilehvar, MT; Limsopatham, N; Collier, N (Springer, 2017-03-07)
    Geographical data can be obtained by converting place names from free-format text into geographical coordinates. The ability to geo-locate events in textual reports represents a valuable source of information in many ...
  • Null arguments in Old Norwegian: interaction between pronouns and the functional categories of the clause 

    Kinn, K
    In this paper I propose a new analysis of null arguments in Old Norwegian. I argue that the option of null realization in Old Norwegian correlates with a distinction between φ P and DP pronouns in the sense of Déchaine & ...
  • Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources 

    Pilehvar, MT; Collier, N (Association for Computational Linguistics, 2017-04-07)
    We put forward an approach that exploits the knowledge encoded in lexical resources in order to induce representations for words that were not encountered frequently during training. Our approach provides an advantage over ...

View more