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Found 5 papers, 1 papers with code
Aligning Estonian and Russian news industry keywords with the help of subtitle translations and an environmental thesaurus
This paper presents the implementation of a bilingual term alignment approach developed by Repar et al. (2019) to a dataset of unaligned Estonian and Russian keywords which were manually assigned by journalists to describe the article topic.
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources
This article presents the current outcomes of the CURLICAT CEF Telecom project, which aims to collect and deeply annotate a set of large corpora from selected domains.
Curated Multilingual Language Resources for CEF AT (CURLICAT): overall view
The work in progress on the CEF Action CURLICA T is presented.
Evaluation of contextual embeddings on less-resourced languages
The current dominance of deep neural networks in natural language processing is based on contextual embeddings such as ELMo, BERT, and BERT derivatives.
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation
Keyword extraction is used for summarizing the content of a document and supports efficient document retrieval, and is as such an indispensable part of modern text-based systems.
