Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Malgorzata Marciniak"'
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:
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
Publikováno v:
Aspects of Natural Language Processing ISBN: 9783642047343
Aspects of Natural Language Processing
Aspects of Natural Language Processing
The paper describes the creation of a domain model for an Information Extraction (IE) application in the medical domain. First, we present texts: mammography reports and diabetology patients' discharge documents, for which IE systems were created. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::235fac101af3d7d62bacfad18e048db6
https://doi.org/10.1007/978-3-642-04735-0_14
https://doi.org/10.1007/978-3-642-04735-0_14
Publikováno v:
Text, Speech and Dialogue ISBN: 9783540873907
TSD
TSD
In the paper we present a method of automatic annotation of transliterated spontaneous human-human dialogues on the level of domain attributes. It has been used for the preparation of an annotated corpus of dialogs within LUNA project. We describe th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60683d1cb79aa679c0ddfcf354c0448d
https://doi.org/10.1007/978-3-540-87391-4_79
https://doi.org/10.1007/978-3-540-87391-4_79
Publikováno v:
BioNLP@ACL
Scopus-Elsevier
Scopus-Elsevier
The paper presents two rule-based information extraction (IE) from two types of patients' documentation in Polish. For both document types, values of sets of attributes were assigned using specially designed grammars.
Publikováno v:
Intelligent Media Technology for Communicative Intelligence ISBN: 9783540290353
IMTCI
IMTCI
The paper presents a method for intelligent automatic processing of medical reports. First, we extract single pieces of information using SProUT (a general-purpose Information Extraction platform), and then, externally merge the results in order to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a09be1ca484207d163df5d64eb29d6dd
https://doi.org/10.1007/11558637_8
https://doi.org/10.1007/11558637_8