Search Results for author: Matej Ul{\v{c}}ar

Found 2 papers, 0 papers with code

SemEval-2020 Task 3: Graded Word Similarity in Context

no code implementations SEMEVAL 2020 Carlos Santos Armendariz, Matthew Purver, Senja Pollak, Nikola Ljube{\v{s}}i{\'c}, Matej Ul{\v{c}}ar, Ivan Vuli{\'c}, Mohammad Taher Pilehvar

This paper presents the Graded Word Similarity in Context (GWSC) task which asked participants to predict the effects of context on human perception of similarity in English, Croatian, Slovene and Finnish.

Translation Word Similarity

High Quality ELMo Embeddings for Seven Less-Resourced Languages

no code implementations LREC 2020 Matej Ul{\v{c}}ar, Marko Robnik-{\v{S}}ikonja

Recent results show that deep neural networks using contextual embeddings significantly outperform non-contextual embeddings on a majority of text classification task.

NER text-classification +2

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