Papers by Martin Yamalov

1 papers
The MARCELL Legislative Corpus (2020.lrec-1)

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Challenge: MARCELL corpus provides a rich and valuable source for further studies and developments in machine learning, cross-lingual terminological data extraction and classification.
Approach: They present the results of the project MARCELL CEF Telecom . they aim to collect and deeply annotate a large comparable corpus of legal documents .
Outcome: The MARCELL corpus includes 7 monolingual sub-corpora containing the body of respective national legislative documents.

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