no code implementations • LREC 2022 • Baiba Saulite, Roberts Darģis, Normunds Gruzitis, Ilze Auzina, Kristīne Levāne-Petrova, Lauma Pretkalniņa, Laura Rituma, Peteris Paikens, Arturs Znotins, Laine Strankale, Kristīne Pokratniece, Ilmārs Poikāns, Guntis Barzdins, Inguna Skadiņa, Anda Baklāne, Valdis Saulespurēns, Jānis Ziediņš
LNCC is a diverse collection of Latvian language corpora representing both written and spoken language and is useful for both linguistic research and language modelling.
Cultural Vocal Bursts Intensity Prediction Language Modelling
no code implementations • LREC 2022 • Peteris Paikens, Mikus Grasmanis, Agute Klints, Ilze Lokmane, Lauma Pretkalniņa, Laura Rituma, Madara Stāde, Laine Strankale
In this paper we describe our current work on creating a WordNet for Latvian based on the principles of the Princeton WordNet.
no code implementations • LREC 2020 • Normunds Gruzitis, Roberts Dar{\c{g}}is, Laura Rituma, Gunta Ne{\v{s}}pore-B{\=e}rzkalne, Baiba Saulite
We propose an approach for generating an accurate and consistent PropBank-annotated corpus, given a FrameNet-annotated corpus which has an underlying dependency annotation layer, namely, a parallel Universal Dependencies (UD) treebank.
no code implementations • LREC 2016 • Andrejs Spektors, Ilze Auzina, Roberts Dargis, Normunds Gruzitis, Peteris Paikens, Lauma Pretkalnina, Laura Rituma, Baiba Saulite
We describe an extensive and versatile lexical resource for Latvian, an under-resourced Indo-European language, which we call Tezaurs (Latvian for {`}thesaurus{'}).
no code implementations • LREC 2014 • Lauma Pretkalni{\c{n}}a, Art{\=u}rs Znoti{\c{n}}{\v{s}}, Laura Rituma, Didzis Go{\v{s}}ko
In this paper we investigate how different dependency representations of a treebank influence the accuracy of the dependency parser trained on this treebank and the impact on several parser applications: named entity recognition, coreference resolution and limited semantic role labeling.
no code implementations • LREC 2014 • Guntis Barzdins, Didzis Gosko, Laura Rituma, Peteris Paikens
Frame-semantic parsing is a kind of automatic semantic role labeling performed according to the FrameNet paradigm.