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Simple Search
Hits 1 – 8 of 8
1
Semantic Relatedness and Taxonomic Word Embeddings ...
Kacmajor, Magdalena
;
Kelleher, John D.
;
Klubicka, Filip
. - : arXiv, 2020
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2
English WordNet Taxonomic Random Walk Pseudo-Corpora
Klubicka, Filip
;
Maldonado, Alfredo
;
Mahalunkar, Abhijit
...
In: Conference papers (2020)
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3
Language related issues for machine translation between closely related south Slavic languages
Arcan, Mihael
;
Klubicka, Filip
;
Popovic, Maja
. - : The COLING 2016 Organizing Committee, 2019
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4
Synthetic, Yet Natural: Properties of WordNet Random Walk Corpora and the impact of rare words on embedding performance
Klubicka, Filip
;
Mahalunkar, Abhijit
;
Maldonado, Alfredo
...
In: Conference papers (2019)
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5
Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
Maldonado, Alfredo
;
Klubicka, Filip
;
Kelleher, John D.
In: Articles (2019)
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6
Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
Sanchez-Cartagena, Victor Manuel
;
Toral, Antonio
;
Klubicka, Filip
In: Articles (2018)
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7
Is it worth it? Budget-related evaluation metrics for model selection
Klubicka, Filip
;
Salton, Giancarlo
;
Kelleher, John D.
In: Conference papers (2018)
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8
hr500k – A Reference Training Corpus of Croatian.
Erjavec, Tomaž
;
Ljubešić, Nikola
;
Klubicka, Filip
;
Agić, Željko
;
Batanović, Vuk
In: Conference papers (2018)
Abstract:
In this paper we present hr500k, a Croatian reference training corpus of 500 thousand tokens, segmented at document, sentence and word level, and annotated for morphosyntax, lemmas, dependency syntax, named entities, and semantic roles. We present each annotation layer via basic label statistics and describe the final encoding of the resource in CoNLL and TEI formats. We also give a description of the rather turbulent history of the resource and give insights into the topic and genre distribution in the corpus. Finally, we discuss further enrichments of the corpus with additional layers, which are already underway.
Keyword:
annotation
;
computational linguistics
;
Croatian
;
Digital Humanities
;
linguistic resource
;
machine learning
;
reference corpus
;
Slavic Languages and Societies
URL:
https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1254&context=scschcomcon
https://arrow.tudublin.ie/scschcomcon/244
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