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arXiv 2003.105402020-03-23cs.LGcs.CLstat.ML

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

National Research University Higher School of Economics（国立研究型大学高等经济学院）；Skolkovo Institute of Science and Technology（斯科尔科沃科学技术研究院）

Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev

备注：: 37 pages, 1 figure
发表信息：: Journal of Cognitive Science, 2020

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英文摘要：

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 studies with a focus on the natural language representations, such as word embeddings and pre-trained language models. Mutual enrichment of neurolinguistics and language technologies leads to development of brain-aware natural language representations. The importance of this research area is emphasized by medical applications.

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