|
|
|
|
|
Kirill Tyshchuk, Polina Karpikova, Andrew Spiridonov, Anastasiia Prutianova, Anton Razzhigaev and Alexander Panchenko
Embeddings, i.e., vector representations of objects, such as texts, images, or graphs, play a key role in deep learning methodologies nowadays. Prior research has shown the importance of analyzing the isotropy of textual embeddings for transformer-based ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Valery Solovyev and Vladimir Ivanov
In a great deal of theoretical and applied cognitive and neurophysiological research, it is essential to have more vocabularies with concreteness/abstractness ratings. Since creating such dictionaries by interviewing informants is labor-intensive, consid...
ver más
|
|
|
|
|
|
|
|
|
|
|
Francesco Cavallaro, Francesco Perono Cacciafoco and Zhi Xuan Tan
This paper is aimed at investigating the applicability of the notion of Sequent Occupance to the Singapore context. Sequent Occupance as a phenomenon in Human Geography was first theorized by Derwent Whittlesey in 1929 in order to describe the current cu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sardar Parhat, Mijit Ablimit and Askar Hamdulla
In this paper, based on the multilingual morphological analyzer, we researched the similar low-resource languages, Uyghur and Kazakh, short text classification. Generally, the online linguistic resources of these languages are noisy. So a preprocessing i...
ver más
|
|
|
|
|
|