Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Boris V. Dobrov"'
Autor:
Anton S. Pavlov, Boris V. Dobrov
Publikováno v:
Труды Института системного программирования РАН, Vol 21, Iss 0 (2018)
Web spam is considered to be one of the greatest threats to modern search engines. Spammers use a wide range of content generation techniques known as content spam to fill search results with low quality pages. We argue that content spam must be tack
Externí odkaz:
https://doaj.org/article/b08c7ee047704df0b4574bcec267b951
Publikováno v:
Lobachevskii Journal of Mathematics. 41:1591-1602
The paper presents the results of applying the BERT representation model in the named entity recognition task (NER) for the cybersecurity domain in Russian. We compare several approaches to domain-specific NER combining BERT fine-tuning on a domain-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33082ea42bdc261b6106caca32d540ad
https://doi.org/10.1134/s199508022008020x
https://doi.org/10.1134/s199508022008020x
Autor:
Daniil Chernyshev, Boris V. Dobrov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030726096
AIST
AIST
Summarization is becoming a demanded task in the modern world of ever-increasing document flow. This task allows to compress existing text while maintaining all salient information. However, building a neural summarization model requires training dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7d6b4fd331bca179fb78a1b6bb0b06c
https://doi.org/10.1007/978-3-030-72610-2_7
https://doi.org/10.1007/978-3-030-72610-2_7
Publikováno v:
The Palgrave Handbook of Digital Russia Studies ISBN: 9783030428549
This chapter describes the Russian RuThes thesaurus created as a linguistic and terminological resource for automatic document processing. Its structure utilizes two popular paradigms for computer thesauri: concept-based units, a small set of relatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87376a510b92434407eef8bca54d9cca
https://doi.org/10.1007/978-3-030-42855-6_18
https://doi.org/10.1007/978-3-030-42855-6_18
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783030513092
NLDB
NLDB
The paper presents the results of applying the BERT representation model in the named entity recognition task for the cybersecurity domain in Russian. Several variants of the model were investigated. The best results were obtained using the BERT mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::921ee666a4d8f1b311451da798e98b30
https://doi.org/10.1007/978-3-030-51310-8_2
https://doi.org/10.1007/978-3-030-51310-8_2
Publikováno v:
Computational Linguistics and Intellectual Technologies.
The paper presents the results of applying the BERT representation model in the named entity recognition task for the cybersecurity domain in Russian. Several variants of the model were investigated. The best results were obtained using the BERT mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf91be0c9a0f7cfcbd710cd52d8ee5a2
https://doi.org/10.28995/2075-7182-2020-19-724-735
https://doi.org/10.28995/2075-7182-2020-19-724-735
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030279462
TSD
TSD
In this paper we study approaches to assessing the quality of student theses in pedagogics. We consider a specific subtask in thesis scoring of estimating its adherence to the thesis’s theme. The special document (theme header) comprising the theme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f414e5071cd8e7443226d306fc8e0ec
https://doi.org/10.1007/978-3-030-27947-9_6
https://doi.org/10.1007/978-3-030-27947-9_6
Publikováno v:
WIMS
In this paper we study thesaurus-based topic models and evaluate them from the point of view of topic coherence. Thesaurus-based topic model enhances scores of related terms found in the same text, which means that the model encourages these terms to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e2c8093accd4d1b72bbc1eb8a0d7f7d
https://doi.org/10.1145/3227609.3227659
https://doi.org/10.1145/3227609.3227659
Publikováno v:
Terminology. 21:237-262
This paper presents the structure and current state of the Sociopolitical thesaurus, which was developed for automatic document analysis and information-retrieval applications in Russian in a broad domain of public affairs. The scope of the Sociopoli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e881962bf5da4783b72c2c9e4e08341a
https://doi.org/10.1075/term.21.2.05lou
https://doi.org/10.1075/term.21.2.05lou
Autor:
Natalia V. Loukachevitch, Boris V. Dobrov, Valerie A. Mozharova, A. A. Pavlov, Aleksandr Shevelev
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319717456
In this paper we study the contribution of semantic features to the detection of Russian paraphrases. The features were calculated on the Russian Thesaurus RuThes. First, we applied RuThes synonyms in clustering news articles, many of which had been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cef36aa6648b62b0d4bdef94f870a48a
https://doi.org/10.1007/978-3-319-71746-3_20
https://doi.org/10.1007/978-3-319-71746-3_20