Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ekaterina V. Pronoza"'
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
Ethnicity-targeted hate speech has been widely shown to influence on-the-ground inter-ethnic conflict and violence, especially in such multi-ethnic societies as Russia. Therefore, ethnicity-targeted hate speech detection in user texts is becoming an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54b01f0c5e90d2a14baab964b0584867
https://hdl.handle.net/10251/183078
https://hdl.handle.net/10251/183078
Publikováno v:
Mining Intelligence and Knowledge Exploration ISBN: 9783030661861
MIKE
MIKE
This paper is the first part of contextual predictability model investigation for Russian, it is focused on linguistic and psychology interpretation of models, features, metrics and sets of features. The aim of this paper is to identify the dependenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b0b20b90a2647907f802a3ecac6f92
https://doi.org/10.1007/978-3-030-66187-8_11
https://doi.org/10.1007/978-3-030-66187-8_11
Autor:
Danil Bliznuk, Margarita Tokareva, Elena Yagunova, Ali Abdullaev, Liliya Volkova, Alexandra Maslennikova, Ekaterina V. Pronoza
Publikováno v:
Polibits. 57:81-88
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d152bd83b967e410babc44517cec10b5
https://doi.org/10.17562/pb-57-9
https://doi.org/10.17562/pb-57-9
Publikováno v:
Computación y Sistemas. 22
In this paper we construct paraphrase graphs for news text collections (clusters). Our aims are, first, to prove that paraphrase graph construction method can be used for news clusters identification, and, second, to analyze and compare stylistically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07924e0c87375209e6ed3c2b88139486
https://doi.org/10.13053/cys-22-4-3065
https://doi.org/10.13053/cys-22-4-3065
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030011581
SocInfo (2)
SocInfo (2)
In this paper we analyze news text collections (clusters) via extracting their paraphrase headlines into a paraphrase graph and working with this graph. Our aim is to test whether news headline is an appropriate form of news text compression. Differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f60ef3b1e21b1c3c5eeb269fb94492d
https://doi.org/10.1007/978-3-030-01159-8_13
https://doi.org/10.1007/978-3-030-01159-8_13
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030028398
MICAI (2)
MICAI (2)
In this paper we present a new Russian paraphrase corpus derived from the news feed of the social network and conduct its primary analysis. Most media agencies post their news reports on their pages in social networks, and the headlines of the messag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd59c8074a37f41cefdc1dd8c041ac40
https://doi.org/10.1007/978-3-030-02840-4_11
https://doi.org/10.1007/978-3-030-02840-4_11
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030044961
MICAI (2)
MICAI (2)
In this paper we propose a simple but powerful method of extracting key client requests from bank chat logs. Many companies nowadays are interested in building a chat bot to optimize their business, and are ready to provide chat bot developers with l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b15c5145b18a1d5b275b34a5297324a
https://doi.org/10.1007/978-3-030-04497-8_13
https://doi.org/10.1007/978-3-030-04497-8_13
Autor:
Ekaterina V. Pronoza, Elena Yagunova
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319754765
CICLing (1)
CICLing (1)
Our main objectives are constructing a paraphrase corpus for Russian and developing of the paraphrase identification and classification models based on this corpus. The corpus consists of pairs of news headlines from different media agencies which ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd0c1bc88c20b5413cd9a182b19b8b18
https://doi.org/10.1007/978-3-319-75477-2_41
https://doi.org/10.1007/978-3-319-75477-2_41
Publikováno v:
Advances in Computational Intelligence ISBN: 9783319624334
MICAI (1)
MICAI (1)
As part of our project ParaPhraser on the identification and classification of Russian paraphrase, we have collected a corpus of more than 8000 sentence pairs annotated as precise, loose or non-paraphrases. The corpus is annotated via crowdsourcing b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c992e642d840568f1f03b5bd9124a15d
https://doi.org/10.1007/978-3-319-62434-1_4
https://doi.org/10.1007/978-3-319-62434-1_4
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319717456
The paper describes the results of the First Russian Paraphrase Detection Shared Task held in St.-Petersburg, Russia, in October 2016. Research in the area of paraphrase extraction, detection and generation has been successfully developing for a long
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::329aead5959e0dc7647654ff32bc584c
http://hdl.handle.net/10138/232301
http://hdl.handle.net/10138/232301