Browsing by Subject "BERT"

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Combined approach to hypernym detection for thesaurus enrichment

Tikhomirov M.M.; Loukachevitch N.V.; Parkhomenko E.A. (2020)

© 2020 ABBYY PRODUCTION LLC. All rights reserved. This paper describes a combined approach to hypernym detection task. The approach combines the following techniques: distribution semantics, rule-based patterns, and modern ...
Generating training data for word sense disambiguation in Russian

Bolshina A.S.; Loukachevitch N.V. (2020)

© 2020 ABBYY PRODUCTION LLC. All rights reserved. The best approaches in Word Sense Disambiguation (WSD) are supervised and rely on large amounts of hand-labelled data, which is not always available and costly to create. ...
On biomedical named entity recognition: Experiments in interlingual transfer for clinical and social media texts

Miftahutdinov Z.; Alimova I.; Tutubalina E. (2020)

© Springer Nature Switzerland AG 2020. Although deep neural networks yield state-of-the-art performance in biomedical named entity recognition (bioNER), much research shares one limitation: models are usually trained and ...
Rurebus-2020 shared task: Russian relation extraction for business

Ivanin V.A.; Artemova E.L.; Batura T.V.; Ivanov V.V.; Sarkisyan V.V.; Tutubalina E.V.; Smurov I.M. (2020)

© 2020 ABBYY PRODUCTION LLC. All rights reserved. In this paper, we present a shared task on core information extraction problems, named entity recognition and relation extraction. In contrast to popular shared tasks on ...

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