Automated Compilation of a Corpus-Based Dictionary and Computing Concreteness Ratings of Russian

Author:

Solovyev Valery,Ivanov Vladimir

Publisher

Springer International Publishing

Reference24 articles.

1. Technology for creating semantic electronic dictionaries. https://kpfu.ru/tehnologiya-sozdaniya-semanticheskih-elektronnyh.html . Accessed 29 July 2020 (in Russian)

2. Tehnologii sozdaniya elektronnykh slovarei [technologies of compiling electronic dictionaries]. https://kpfu.ru/tehnologiya-sozdaniya-semanticheskih-elektronnyh.html . Accessed 29 July 2020 (in Russian)

3. Balyan, R., McCarthy, K., McNamara, D.: Comparing machine learning classification approaches for predicting expository text difficulty. In: The Thirty-First International Florida Artificial Intelligence Research Society Conference (FLAIRS-31), pp. 421–426 (2018)

4. Binney, R., Zuckerman, B., Reilly, J.: A neuropsychological perspective on abstract word representation: from theory to treatment of acquired language disorders. Curr. Neurol. Neurosci. Rep. 16, 1–26 (2018)

5. Borghi, A., Binkofski, F., Castelfranchi, C., Cimatti, F., Scorolli, C., Tummolini, L.: The challenge of abstract concepts. Psychol. Bull. 143(3), 263–292 (2017)

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1. Dictionary with the Evaluation of Positivity/Negativity Degree of the Russian Words;Speech and Computer;2022

2. Automatic generation of a large dictionary with concreteness/abstractness ratings based on a small human dictionary;Journal of Intelligent & Fuzzy Systems;2021-12-17

3. Concreteness/Abstractness Concept: State of the Art;Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics;2021

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