Titlebook: Analysis of Images, Social Networks and Texts; 11th International C Dmitry I. Ignatov,Michael Khachay,Sergey Zagoruyko Conference proceedin

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RuCAM: Comparative Argumentative Machine for?the?Russian Languageexplain the choice and support it with arguments. ChatGPT-like models are able nowadays to generate a coherent answer in a natural language, however, they are not fully reliable as they are not publicly accessible and tend to hallucinate. Another solution is a Comparative Argument Machine (CAM), whi

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Paraphrasers and?Classifiers: Controllable Text Generation for?Text Style Transferetrained language models (LMs). However, the size of contemporary LMs often makes fine-tuning for downstream tasks infeasible. For this reason, methods of controllable text generation (CTG) which do not aim at fine-tuning the original LM have received attention for solving TST tasks. In this work, w

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Unsupervised Ultra-Fine Entity Typing with?Distributionally Induced Word Sensesity mention. Hence, automatic type generation is receiving increased interest, typically to be used as distant supervision data. In this study, we investigate an unsupervised way based on distributionally induced word senses. The types or labels are obtained by selecting the appropriate sense cluste

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Automatic Detection of?Dialectal Features of?Pskov Dialects in?the?Speech of?Native Speakersristic of the Pskov dialects found on the territory of the Opochetsky district of the Pskov region and the Zapadnodvinsky district of the Tver region. The task is divided into two parts: speech recognition and features detection. First of all, we developed a model, the functionality of which include

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