Papers by Radovan Garabik

2 papers
From Linguistic Linked Data to Big Data (2024.lrec-main)

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Challenge: Language data on the LOD cloud has grown in number, size, and variety . Linked (Open) Data (LLOD) is a standardized way of representing and sharing linguistic datasets .
Approach: They propose to combine LLOD and Big Data to improve interoperability of linguistic datasets . they propose to use a machine-readable format to represent and share linguistic data .
Outcome: This paper examines the use cases of Linked (Open) Data and Big Data in language data.
MultiLexBATS: Multilingual Dataset of Lexical Semantic Relations (2024.lrec-main)

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Challenge: Prior work has focused on analysing lexical semantic relations in word embeddings or probing pretrained language models (PLMs) with some exceptions.
Approach: They propose to use a multilingual parallel dataset of lexical semantic relations adapted from BATS in 15 languages including low-resource languages such as Bambara, Lithuanian, and Albanian as an experiment on cross-lingual transfer of relational knowledge.
Outcome: The proposed dataset is adapted from a BATS-based dataset in 15 languages including low-resource languages such as Bambara, Lithuanian, and Albanian.

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