Papers by Daniil Vodolazsky

3 papers
Constructing a Lexical Resource of Russian Derivational Morphology (2022.lrec-1)

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Challenge: In Natural Language Processing of Russian, the inflection is satisfactorily processed, but there are only a few machine-trackable resources that capture derivations .
Approach: They propose to use machine-learning methods to improve Russian inflection and derivational resources by using a database of more than 300 thousand lexemes and 164 thousand binary derivations.
Outcome: The proposed method includes more than 300 thousand lexemes connected with more than 164 thousand binary derivational relations.
DerivBase.Ru: a Derivational Morphology Resource for Russian (2020.lrec-1)

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Challenge: DerivBase.Ru is a high-coverage derivational morphology resource for Russian language that can be used for many tasks such as paraphrases and plagiarism detection.
Approach: They propose a rule-based framework for deriving Russian words using a derivational morphology resource called DerivBase.Ru.
Outcome: The proposed framework can be used to derivate words from a dictionary in Russian and German.
2Columns1Row: A Russian Benchmark for Textual and Multimodal Table Understanding and Reasoning (2025.findings-emnlp)

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Challenge: 2Columns1Row is the first open-source benchmark for the table understanding task in Russian.
Approach: They propose a benchmark for table understanding in Russian using textual and multimodal inputs.
Outcome: The proposed benchmark evaluates models' ability to reason about relationships between rows and columns in tables using text-only and multimodal approaches.

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