131 citations · 143 across the 4 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
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…