Search Results for author: Art{\=u}rs Znoti{\c{n}}{\v{s}}

Found 2 papers, 0 papers with code

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 +2

Coreference Resolution for Latvian

no code implementations LREC 2014 Art{\=u}rs Znoti{\c{n}}{\v{s}}, P{\=e}teris Paikens

Coreference resolution (CR) is a current problem in natural language processing (NLP) research and it is a key task in applications such as question answering, text summarization and information extraction for which text understanding is of crucial importance.

Coreference Resolution Named Entity Recognition +4

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