1 code implementation • COLING 2020 • Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy, Alexander Panchenko
Lexical substitution, i. e. generation of plausible words that can replace a particular target word in a given context, is an extremely powerful technology that can be used as a backbone of various NLP applications, including word sense induction and disambiguation, lexical relation extraction, data augmentation, etc.
no code implementations • 23 Jun 2020 • Nikolay Arefyev, Boris Sheludko, Tatiana Aleksashina
Word sense induction (WSI) is the problem of grouping occurrences of an ambiguous word according to the expressed sense of this word.
no code implementations • 29 May 2020 • Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy, Alexander Panchenko
Lexical substitution in context is an extremely powerful technology that can be used as a backbone of various NLP applications, such as word sense induction, lexical relation extraction, data augmentation, etc.
no code implementations • RANLP 2019 • Nikolay Arefyev, Boris Sheludko, Alex Panchenko, er
Word Sense Induction (WSI) is the task of grouping of occurrences of an ambiguous word according to their meaning.
no code implementations • SEMEVAL 2019 • Nikolay Arefyev, Boris Sheludko, Adis Davletov, Dmitry Kharchev, Alex Nevidomsky, Alex Panchenko, er
We describe our solutions for semantic frame and role induction subtasks of SemEval 2019 Task 2.