Papers by Vladimir Kokh
InkSight: Towards AI-Aided Historical Manuscript Analysis (2026.eacl-demo)
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Andrey Sakhovskiy, Ivan Ulitin, Emilia Bojarskaja, Vladimir Kokh, Ruslan Murtazin, Maxim Novopoltsev, Semen Budennyy
| Challenge: | Large-scale scientific research on medieval Arabic manuscripts remains challenging due to the need for advanced paleographic and linguistic training and the lack of assisting software. |
| Approach: | They propose an end-to-end Arabic manuscript analysis tool for manuscript-based analytics and research hypothesis testing. |
| Outcome: | The proposed tool overcomes the limitations of existing tools and can be used in large-scale scientific research. |
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking (2022.lrec-1)
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Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexander Nesterov, Manvel Avetisian, Andrei Chertok, Sergey Nikolenko
| Challenge: | Existing approaches to medical entity linking are limited in terms of data volume and languages. |
| Approach: | They propose to use clinical reports, clinical guidelines, and medical research papers to evaluate cross-lingual medical entity linking. |
| Outcome: | The proposed model outperforms existing models on clinical reports, clinical guidelines, and medical research papers. |
RuCCoN: Clinical Concept Normalization in Russian (2022.findings-acl)
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Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey Nikolenko
| Challenge: | a new dataset for clinical concept normalization in Russian is available for download . ehrs contains over 16,028 entity mentions manually linked to over 2,409 unique concepts . |
| Approach: | They present a dataset for clinical concept normalization in Russian manually annotated by medical professionals. |
| Outcome: | The proposed dataset contains 16,028 entity mentions manually linked to over 2,409 unique concepts from the Russian language part of the UMLS ontology. |