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06/07/2022
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution
Lexical substitution, i.e. generation of plausible words that can replac...
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06/07/2022
BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection
We propose a solution for the LSCDiscovery shared task on Lexical Semant...
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05/26/2022
The Document Vectors Using Cosine Similarity Revisited
The current state-of-the-art test accuracy (97.42%) on the IMDB movie re...
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06/23/2020
Combining Neural Language Models for WordSense Induction
Word sense induction (WSI) is the problem of grouping occurrences of an ...
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05/29/2020
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models
Lexical substitution in context is an extremely powerful technology that...
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05/05/2019
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings
We present our system for semantic frame induction that showed the best ...
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05/23/2018
How much does a word weigh? Weighting word embeddings for word sense induction
The paper describes our participation in the first shared task on word s...
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03/15/2018
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language
The paper describes the results of the first shared task on word sense i...
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08/31/2017
Human and Machine Judgements for Russian Semantic Relatedness
Semantic relatedness of terms represents similarity of meaning by a nume...
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08/10/2017
Making Sense of Word Embeddings
We present a simple yet effective approach for learning word sense embed...
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07/12/2017
