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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F10%3A10035417%21RIV11-GA0-11320___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
In this paper we present a method for semantic annotation of texts, which is based on a deep linguistic analysis (DLA) and Inductive Logic Programming (ILP). The combination of DLA and ILP have following benefits: Manual selection of learning features is not needed. The learning procedure has full available linguistic information at its disposal and it is capable to select relevant parts itself. Learned extraction rules can be easily visualized, understood and adapted by human. A description, implementation and initial evaluation of the method are the main contributions of the paper. In this paper we present a method for semantic annotation of texts, which is based on a deep linguistic analysis (DLA) and Inductive Logic Programming (ILP). The combination of DLA and ILP have following benefits: Manual selection of learning features is not needed. The learning procedure has full available linguistic information at its disposal and it is capable to select relevant parts itself. Learned extraction rules can be easily visualized, understood and adapted by human. A description, implementation and initial evaluation of the method are the main contributions of the paper.
dcterms:title
Towards semantic annotation supported by dependency linguistics and ILP Towards semantic annotation supported by dependency linguistics and ILP
skos:prefLabel
Towards semantic annotation supported by dependency linguistics and ILP Towards semantic annotation supported by dependency linguistics and ILP
skos:notation
RIV/00216208:11320/10:10035417!RIV11-GA0-11320___
n4:aktivita
n10:Z n10:S n10:P
n4:aktivity
P(GAP202/10/0761), P(GD201/09/H057), S, Z(MSM0021620838)
n4:cisloPeriodika
6497
n4:dodaniDat
n7:2011
n4:domaciTvurceVysledku
n17:3953378
n4:druhVysledku
n15:J
n4:duvernostUdaju
n8:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
293144
n4:idVysledku
RIV/00216208:11320/10:10035417
n4:jazykVysledku
n19:eng
n4:klicovaSlova
Machine Learning; Information Extraction; Inductive Logic Programming; Dependency Linguistics; Semantic Annotation
n4:klicoveSlovo
n5:Information%20Extraction n5:Dependency%20Linguistics n5:Semantic%20Annotation n5:Machine%20Learning n5:Inductive%20Logic%20Programming
n4:kodStatuVydavatele
DE - Spolková republika Německo
n4:kontrolniKodProRIV
[470AF1FD0EE9]
n4:nazevZdroje
Lecture Notes in Computer Science
n4:obor
n18:IN
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
9
n4:projekt
n13:GD201%2F09%2FH057 n13:GAP202%2F10%2F0761
n4:rokUplatneniVysledku
n7:2010
n4:svazekPeriodika
2010
n4:tvurceVysledku
Dědek, Jan
n4:zamer
n11:MSM0021620838
s:issn
0302-9743
s:numberOfPages
8
n12:organizacniJednotka
11320