activity
20172020
most citedA Survey of Word Embeddings Evaluation Methods

131 citations · 134 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2020

Data-driven models and computational tools for neurolinguistics: a language technology perspective

Ekaterina Artemova, Amir Bakarov, Aleksey Artemov +2

In this paper, our focus is the connection and influence of language technologies on the research in neurolinguistics. We present a review of brain imaging-based neurolinguistic st…

cs.CL2018

The Limitations of Cross-language Word Embeddings Evaluation

Amir Bakarov, Roman Suvorov, Ilya Sochenkov

The aim of this work is to explore the possible limitations of existing methods of cross-language word embeddings evaluation, addressing the lack of correlation between intrinsic a…

cs.CL2018

Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?

Amir Bakarov

In recent years a certain success in the task of modeling lexical semantics was obtained with distributional semantic models. Nevertheless, the scientific community is still unawar…

cs.CL2018131 cited

A Survey of Word Embeddings Evaluation Methods

Amir Bakarov

Word embeddings are real-valued word representations able to capture lexical semantics and trained on natural language corpora. Models proposing these representations have gained p…

cs.CL20173 cited

Automated Detection of Non-Relevant Posts on the Russian Imageboard "2ch": Importance of the Choice of Word Representations

Amir Bakarov, Olga Gureenkova

This study considers the problem of automated detection of non-relevant posts on Web forums and discusses the approach of resolving this problem by approximation it with the task o…