Zobrazeno 31 - 40
of 61
pro vyhledávání: '"Agnieszka Mykowiecka"'
Autor:
Mieczyslaw A. Klopotek, Jacek Koronacki, Malgorzata Marciniak, Agnieszka Mykowiecka, Slawomir Wierzchon
This book constitutes the refereed proceedings of the International Conference on Intelligent Information Systems, IIS 2013, held in Warsaw, Poland in June 2013. The 28 full papers included in this volume were carefully reviewed and selected from 53
Publikováno v:
Advances in Natural Language Processing ISBN: 9783319108872
PolTAL
PolTAL
In the paper we analyse Polish descriptive adjectives which occur in domain related texts. The experiments were done on data obtained from hospital discharge records. Prenominal adjectives selected from these texts were filtered out of presumably rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06bbac6a23c2811aac226f8d11f7f0d0
https://doi.org/10.1007/978-3-319-10888-9_10
https://doi.org/10.1007/978-3-319-10888-9_10
Publikováno v:
Proceedings of the 4th International Workshop on Computational Terminology (Computerm).
In the paper, we propose a new method of identifying terms nested within candidates for the terms extracted from domain texts. The list of all terms is then ranked by the process of automatic term recognition. Our method of identifying nested terms i
Autor:
Pascal Bouvry, Mieczyslaw A. Klopotek, Franck Leprevost, Malgorzata Marciniak, Agnieszka Mykowiecka, Henryk Rybinski
This book constitutes the thoroughly refereed post-conference proceedings of the Joint Meeting of the 2nd Luxembourg-Polish Symposium on Security and Trust and the 19th International Conference Intelligent Information Systems, held as International J
Publikováno v:
Journal of Biomedical Semantics
Background Hospital documents contain free text describing the most important facts relating to patients and their illnesses. These documents are written in specific language containing medical terminology related to hospital treatment. Their automat
Publikováno v:
Intelligent Tools for Building a Scientific Information Platform ISBN: 9783642356469
Intelligent Tools for Building a Scientific Information Platform
Intelligent Tools for Building a Scientific Information Platform
The paper presents a method of extracting terminology from Polish texts which consists of two steps. The first one identifies candidates for terms, and is supported by linguistic knowledge-a shallow grammar used for extracted phrases is given. The se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::867fbff06602edf38b5bc35c482793ec
https://doi.org/10.1007/978-3-642-35647-6_13
https://doi.org/10.1007/978-3-642-35647-6_13
Publikováno v:
PLoS ONE
PLoS ONE, Vol 8, Iss 1, p e54471 (2013)
PLoS ONE, Vol 8, Iss 1, p e54471 (2013)
The minimal set of proteins necessary to maintain a vertebrate cell forms an interesting core of cellular machinery. The known proteome of human red blood cell consists of about 1400 proteins. We treated this protein complement of one of the simplest
Autor:
Agnieszka Mykowiecka, Jacek Koronacki, Malgorzata Marciniak, Sławomir T. Wierzchoń, Mieczyslaw A. Klopotek
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642386336
Language Processing and Intelligent Information Systems
Language Processing and Intelligent Information Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8a0d190357d6aac45bc1b48cfeb280f
https://doi.org/10.1007/978-3-642-38634-3
https://doi.org/10.1007/978-3-642-38634-3
Autor:
Henryk Rybinski, Franck Leprévost, Pascal Bouvry, Mieczyslaw A. Klopotek, Malgorzata Marciniak, Agnieszka Mykowiecka
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642252600
Security and Intelligent Information Systems
Security and Intelligent Information Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90e383b184e7954c45873a9ee1d225ca
https://doi.org/10.1007/978-3-642-25261-7
https://doi.org/10.1007/978-3-642-25261-7
Publikováno v:
Text, Speech and Dialogue ISBN: 9783642235375
TSD
TSD
This paper presents the results of testing two approaches in the automatic semantic labeling of medical data. For a chosen domain (diabetic patients' discharge records) a set of domain related concepts was identified. The annotated resource is the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86a1dd2d62df6b029e52221cebe2e94c
https://doi.org/10.1007/978-3-642-23538-2_7
https://doi.org/10.1007/978-3-642-23538-2_7