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Found 5 papers, 1 papers with code
Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning
This paper presents our contribution to SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC).
AGRR 2019: Corpus for Gapping Resolution in Russian
This paper provides a comprehensive overview of the gapping dataset for Russian that consists of 7. 5k sentences with gapping (as well as 15k relevant negative sentences) and comprises data from various genres: news, fiction, social media and technical texts.
Automated Word Stress Detection in Russian
In this study we address the problem of automated word stress detection in Russian using character level models and no part-speech-taggers.
AGRR-2019: A Corpus for Gapping Resolution in Russian
This paper provides a comprehensive overview of the gapping dataset for Russian that consists of 7. 5k sentences with gapping (as well as 15k relevant negative sentences) and comprises data from various genres: news, fiction, social media and technical texts.
Char-RNN for Word Stress Detection in East Slavic Languages
We explore how well a sequence labeling approach, namely, recurrent neural network, is suited for the task of resource-poor and POS tagging free word stress detection in the Russian, Ukranian, Belarusian languages.
