23 citations · 31 across the 3 of their papers we have counts for
3 papers
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution
Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy +1
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 bac…
Combining Neural Language Models for WordSense Induction
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. Recently a new approach to this task was propo…
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models
Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy +1
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 extra…