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        <name type="personal">
            <namePart type="given">Tomaž</namePart>
            <namePart type="family">Erjavec</namePart>
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            <namePart type="given">Jan</namePart>
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    <abstract>This work deals with ontology learning from unstructured Russian text. We implement one of components Never Ending Language Learner and introduce the algorithm extensions aimed to gather specificity of morphologicaly rich free-word-order language. We demonstrate that this method may be successfully applied to Russian data. In addition we perform several additional experiments comparing different settings of the training process. We demonstrate that utilizing of morphological features significantly improves the system precision while using of seed patterns helps to improve the coverage.</abstract>
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%0 Conference Proceedings
%T Towards Never Ending Language Learning for Morphologically Rich Languages
%A Buraya, Kseniya
%A Pivovarova, Lidia
%A Budkov, Sergey
%A Filchenkov, Andrey
%Y Erjavec, Tomaž
%Y Piskorski, Jakub
%Y Pivovarova, Lidia
%Y Šnajder, Jan
%Y Steinberger, Josef
%Y Yangarber, Roman
%S Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F buraya-etal-2017-towards
%X This work deals with ontology learning from unstructured Russian text. We implement one of components Never Ending Language Learner and introduce the algorithm extensions aimed to gather specificity of morphologicaly rich free-word-order language. We demonstrate that this method may be successfully applied to Russian data. In addition we perform several additional experiments comparing different settings of the training process. We demonstrate that utilizing of morphological features significantly improves the system precision while using of seed patterns helps to improve the coverage.
%R 10.18653/v1/W17-1417
%U https://aclanthology.org/W17-1417
%U https://doi.org/10.18653/v1/W17-1417
%P 108-118

Markdown (Informal)

[Towards Never Ending Language Learning for Morphologically Rich Languages](https://aclanthology.org/W17-1417) (Buraya et al., BSNLP 2017)

• Towards Never Ending Language Learning for Morphologically Rich Languages (Buraya et al., BSNLP 2017)

ACL

• Kseniya Buraya, Lidia Pivovarova, Sergey Budkov, and Andrey Filchenkov. 2017. Towards Never Ending Language Learning for Morphologically Rich Languages. In Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing, pages 108–118, Valencia, Spain. Association for Computational Linguistics.