Výsledky vyhledávání - "Khodorchenko, Maria"

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AutoTM 2.0: Automatic Topic Modeling Framework for Documents Analysis

Autor: Khodorchenko, Maria, Butakov, Nikolay, Zuev, Maxim, Nasonov, Denis

In this work, we present an AutoTM 2.0 framework for optimizing additively regularized topic models. Comparing to the previous version, this version includes such valuable improvements as novel optimization pipeline, LLM-based quality metrics and dis

Externí odkaz: http://arxiv.org/abs/2410.00655

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Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems

Autor: Zakharova, Anastasiia, Alexandrov, Dmitriy, Khodorchenko, Maria, Butakov, Nikolay, Vasilev, Alexey, Savchenko, Maxim, Grigorievskiy, Alexander

Machine learning (ML) models trained on datasets owned by different organizations and physically located in remote databases offer benefits in many real-world use cases. State regulations or business requirements often prevent data transfer to a cent

Externí odkaz: http://arxiv.org/abs/2409.15558

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Unsupervised Neural Aspect Search with Related Terms Extraction

Autor: Sokhin, Timur, Khodorchenko, Maria, Butakov, Nikolay

The tasks of aspect identification and term extraction remain challenging in natural language processing. While supervised methods achieve high scores, it is hard to use them in real-world applications due to the lack of labelled datasets. Unsupervis

Externí odkaz: http://arxiv.org/abs/2005.02771

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