Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Kateryna Tymoshenko"'
Autor:
Irina Gontareva, Kateryna Tymoshenko
Publikováno v:
Соціальна економіка, Iss 58 (2020)
The company’s potential, its competitiveness and innovativeness directly depend on the ability to attract highly effective human resources. One of the effective ways to attract and retain resources is the brand of the employer. However, companies f
Externí odkaz:
https://doaj.org/article/ff7ac7bc55134984b5bb68207069e957
Autor:
Kateryna TYMOSHENKO
Publikováno v:
Economics. Finances. Law. 2:49-52
The paper analyzes scientific sources and highlights the meaning of the concept of "non-financial reporting" and gives the features of non-financial reporting. The influence of non-financial risks on increasing financial value is also substantiated.
Autor:
Kateryna Tymoshenko
Publikováno v:
Naukovi pratsi NDFI. 2021:95-103
Publikováno v:
ACL/IJCNLP (Findings)
Publikováno v:
ACM Transactions on Information Systems. 37:1-38
In this article, we extensively study the use of syntactic and semantic structures obtained with shallow and full syntactic parsers for answer passage reranking. We propose several dependency and constituent-based structures, also enriched with Linke
Autor:
Kateryna Tymoshenko, Irina Gontareva
Publikováno v:
Соціальна економіка, Iss 58 (2020)
The company’s potential, its competitiveness and innovativeness directly depend on the ability to attract highly effective human resources. One of the effective ways to attract and retain resources is the brand of the employer. However, companies f
Publikováno v:
EMNLP
High-level semantics tasks, e.g., paraphrasing, textual entailment or question answering, involve modeling of text pairs. Before the emergence of neural networks, this has been mostly performed using intra-pair features, which incorporate similarity
Autor:
Alessandro Moschitti, Guido Vetere, Alessandro Faraotti, Marco Monti, Jeff Z. Pan, Panos Alexopoulos, Yuting Zhao, Kateryna Tymoshenko, Massimo Nicosia, Andrew Walker, Honghan Wu
Publikováno v:
Exploiting Linked Data and Knowledge Graphs in Large Organisations ISBN: 9783319456522
Exploiting Linked Data and Knowledge Graphs in Large Organisations
Exploiting Linked Data and Knowledge Graphs in Large Organisations
In the Digital and Information Age, companies and government agencies are highly digitalized, as the information exchanges happening in their processes. They store information both as natural language text and structured data, e.g., relational databa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e175d1277522b5eab4ce99bf4b7a528
https://doi.org/10.1007/978-3-319-45654-6_7
https://doi.org/10.1007/978-3-319-45654-6_7
Publikováno v:
Artificial Intelligence. 194:203-221
Many applications in the context of natural language processing have been proven to achieve a significant performance when exploiting semantic information extracted from high-quality annotated resources. However, the practical use of such resources i
Publikováno v:
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management-CIKM 16
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management-CIKM '16
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management-CIKM '16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a47056e595c2cefa065af97149549cb3
http://hdl.handle.net/11572/169991
http://hdl.handle.net/11572/169991