activity
20172020
most citedA Survey of Word Embeddings Evaluation Methods

131 citations · 143 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2020★ 3 cited

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★ 6 cited

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.CL2018★ 131 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.CL2017★ 3 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…