Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yulia Badryzlova"'
Publikováno v:
Zeitschrift für Sprachwissenschaft. 41:231-262
The paper outlines the basics of data collection, analysis and visualization under the frame-based approach to lexical typology and illustrates its methodology using the data of cross-linguistic research on verbs of falling. The framework reveals sev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::746e7ff47a892a5f83b4500c6250c8ab
https://doi.org/10.1515/zfs-2021-2046
https://doi.org/10.1515/zfs-2021-2046
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030868864
The paper gives an account of a system for automated identification of linguistic metaphor in Russian text. The design of the system is based on the five features: semantic heterogeneity, lexical and morphosyntactic metaphor association, concreteness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13044233327264857074abea5a970d0f
https://doi.org/10.1007/978-3-030-86887-1_8
https://doi.org/10.1007/978-3-030-86887-1_8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030726096
AIST
AIST
The paper examines the efficiency of topic models as features for computational identification and conceptual analysis of linguistic metaphor on Russian data. We train topic models using three algorithms (LDA and ARTM – sparse and dense) and evalua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc1b4e808c8d65a99725de6352cbaf3
https://doi.org/10.1007/978-3-030-72610-2_5
https://doi.org/10.1007/978-3-030-72610-2_5
Autor:
Yulia Badryzlova
Publikováno v:
EVALITA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5ce915348d523761681851d8b8297b6
https://doi.org/10.4000/books.aaccademia.7478
https://doi.org/10.4000/books.aaccademia.7478
Autor:
Yulia Badryzlova, Polina Panicheva
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030012038
The paper presents a supervised machine learning experiment with multiple features for identification of sentences containing verbal metaphors in raw Russian text. We introduce the custom-created training dataset, describe the feature engineering tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c69a9928f6c492e17c26c99c513af39
https://doi.org/10.1007/978-3-030-01204-5_3
https://doi.org/10.1007/978-3-030-01204-5_3