KEMMRL: Knowledge Extraction Model for Morphologically Rich Languages

Author:

Vasić DanielORCID,Žitko BrankoORCID,Grubišić AniORCID,Gašpar AngelinaORCID

Publisher

Springer Nature Switzerland

Reference24 articles.

1. ReLDIanno – text annotation service for processing slovenian, croatian and serbian – CLARIN Slovenia. https://www.clarin.si/info/k-centre/web-services-documentation/. Accessed 21 Jan 2022

2. Agić, Ž., Merkler, D., Berović, D.: Parsing croatian and serbian by using croatian dependency treebanks. In: Proceedings of the 4th Workshop on Statistical Parsing of Morphologically-Rich Languages, pp. 22–33. Association for Computational Linguistics, Seattle, Washington, USA (2013). https://aclanthology.org/W13-4903

3. Agić, Ž., Tiedemann, J., Merkler, D., Krek, S., Dobrovoljc, K., Može, S.: Cross-lingual dependency parsing of related languages with rich morphosyntactic Tagsets. In: Proceedings of the EMNLP’2014 Workshop on Language Technology for Closely Related Languages and Language Variants, pp. 13–24. Association for Computational Linguistics, Doha, Qatar (2014). https://doi.org/10.3115/v1/W14-4203. https://aclanthology.org/W14-4203

4. Željko Agić, Ljubešić, N.: The SETIMES.HR linguistically annotated corpus of croatian, pp. 1724–1727 (2014). http://nlp.ffzg.hr/resources/corpora/

5. Željko Agić, Ljubešić, N.: Universal dependencies for croatian (that work for serbian, too), pp. 1–8 (2015). http://universaldependencies.github, http://bsnlp-2015.cs.helsinki.fi/bsnlp2015-book.pdf

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