4 citations · 8 across the 2 of their papers we have counts for
5 papers
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…
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings
Saba Anwar, Dmitry Ustalov, Nikolay Arefyev +3
We present our system for semantic frame induction that showed the best performance in Subtask B.1 and finished as the runner-up in Subtask A of the SemEval 2019 Task 2 on unsuperv…
How much does a word weigh? Weighting word embeddings for word sense induction
Nikolay Arefyev, Pavel Ermolaev, Alexander Panchenko
The paper describes our participation in the first shared task on word sense induction and disambiguation for the Russian language RUSSE'2018 (Panchenko et al., 2018). For each of…
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language
Alexander Panchenko, Anastasiya Lopukhina, Dmitry Ustalov +4
The paper describes the results of the first shared task on word sense induction (WSI) for the Russian language. While similar shared tasks were conducted in the past for some Roma…