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Found 5 papers, 4 papers with code
Data-driven models and computational tools for neurolinguistics: a language technology perspective
In this paper, our focus is the connection and influence of language technologies on the research in neurolinguistics.
The Limitations of Cross-language Word Embeddings Evaluation
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 and extrinsic cross-language evaluation methods.
Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?
In recent years a certain success in the task of modeling lexical semantics was obtained with distributional semantic models.
A Survey of Word Embeddings Evaluation Methods
Word embeddings are real-valued word representations able to capture lexical semantics and trained on natural language corpora.
Automated Detection of Non-Relevant Posts on the Russian Imageboard "2ch": Importance of the Choice of Word Representations
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 of detection of semantic relatedness between the given post and the opening post of the forum discussion thread.
