Hrg. Christina Feilmayr,
"Optimizing Selection of Assessment Solutions for Completing Information Extraction Results"
, in Alexander Gelbukh, in Computación y Sistemas, Vol. 17, Nummer 2, Seite(n) 169-178, 2013, ISSN: 1405-5546
Original Titel:
Optimizing Selection of Assessment Solutions for Completing Information Extraction Results
Sprache des Titels:
Englisch
Original Kurzfassung:
ncomplete information has serious consequences in information extraction: it increases the costs on the one hand, and leads on the other to problems in downstream processing. This research work focuses on improving the completeness of extraction results by applying judiciously selected assessment methods to information extraction within the principle of complementarity. A recommendation model simplifies the selection of assessment methods that can overcome a specific incompleteness problem. This paper focuses on (i) the proposed approach to selecting appropriate assessment methods for the complementarity approach; (ii) the characterization of information extraction and assessment methods; (iii) a rule base that allows general processability, profitability in the complementarity approach, and performance of an assessment method to be assessed.
Sprache der Kurzfassung:
Englisch
Journal:
Computación y Sistemas
Volume:
17
Number:
2
Seitenreferenz:
169-178
Erscheinungsjahr:
2013
ISSN:
1405-5546
Anzahl der Seiten:
10
Notiz zur Publikation:
Special Issue: Special issue: Computational linguistics
Forschungs-