Titlebook: Artificial Intelligence and Natural Language; 9th Conference, AINL Andrey Filchenkov,Janne Kauttonen,Lidia Pivovarova Conference proceeding

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Searching Case Law Judgments by Using Other Judgments as a Query,aw. The novelty of the work comes from the idea of using legal documents for automatic formulation of the query, including case law judgments, legal case descriptions, or other texts. The query documents may be in various formats, including image files with text content. This approach allows efficie

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GenPR: Generative PageRank Framework for Semi-supervised Learning on Citation Graphs, SSL algorithms use a default adjacency matrix with binary weights on edges (citations), that causes a loss of the nodes (papers) similarity information. In this work, therefore, we propose a framework focused on embedding PageRank SSL in a generative model. This framework allows one to do joint tra

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Finding New Multiword Expressions for Existing Thesaurus, context, distributional measures) can efficiently detect the most prominent MWEs. However, given a large number of MWEs already present in a lexical resource those methods fail to provide sufficient results in extracting unseen expressions. We show that the information deduced from the thesaurus it

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Conference proceedings 2020ume presents 1 shared task paper. The volume presents recent research in areas of of text mining, speech technologies, dialogue systems, information retrieval, machine learning, articial intelligence, and robotics. .

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1865-0929 y, the volume presents 1 shared task paper. The volume presents recent research in areas of of text mining, speech technologies, dialogue systems, information retrieval, machine learning, articial intelligence, and robotics. .978-3-030-59081-9978-3-030-59082-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Encyclopedia of Heroism Studies topic labeling. Specific linguistic parameters of Russian posts were revealed for correct language processing. The results justify the use of the algorithm that can be further integrated with already developed graph methods.

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https://doi.org/10.1007/978-3-662-06321-7k whether the performance of a Transformer model is impacted by the differences of the languages in which math problems are expressed. Though our contribution is small compared to the original work, we think it is valuable given the fact that languages other than English (and Russian in particular) are underrepresented.