Data-driven models and computational tools for neurolinguistics: a language technology perspective
Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Vladimirovich Burnaev, Maxim Sharaev · arXiv (Cornell University) · 2020
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.