Search Results for author: Laura Rituma

Found 9 papers, 1 papers with code

Towards Latvian WordNet

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.

Deriving a PropBank Corpus from Parallel FrameNet and UD Corpora

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.

T\=ezaurs.lv: the Largest Open Lexical Database for Latvian

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{'}).

Dependency parsing representation effects on the accuracy of semantic applications --- an example of an inflective language

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.

coreference-resolution Dependency Parsing +4

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