1 code implementation • 29 Mar 2023 • Igor Markov, Sergey Nesteruk, Andrey Kuznetsov, Denis Dimitrov
In this paper, we present a large-scale human-labeled dataset for Russian text recognition in-the-wild.
no code implementations • 22 Oct 2022 • Graham Cormode, Igor Markov
We address two major obstacles to practical use of supervised classifiers on distributed private data.
no code implementations • 19 Feb 2022 • Rasika Bhalerao, Mohammad Al-Rubaie, Anand Bhaskar, Igor Markov
We propose Continuous Word2Vec (CW2V), our data-driven method to learn word embeddings that ensures that perturbations of words have embeddings similar to those of the original words.
no code implementations • 24 Nov 2021 • Binh Vu, Igor Markov
Today, Machine Learning (ML) applications can have access to tens of thousands of features.
no code implementations • SEMEVAL 2021 • David Dale, Igor Markov, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko
We show that fine-tuning a RoBERTa model for this problem is a strong baseline.
no code implementations • SEMEVAL 2020 • Daryna Dementieva, Igor Markov, Alexander Panchenko
This paper presents a solution for the Span Identification (SI) task in the {``}Detection of Propaganda Techniques in News Articles{''} competition at SemEval-2020.