Using Ontologies for Semi-automatic Linking VerbaLex with FrameNet

Logo poskytovatele
Logo poskytovatele

Varování

Publikace nespadá pod Filozofickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
Název česky Využití ontologií k poloautomatickému propojení VerbaLexu a FrameNetu
Autoři

MATERNA Jiří PALA Karel

Rok publikování 2010
Druh Článek ve sborníku
Konference roceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www http://www.lrec-conf.org/proceedings/lrec2010/pdf/867_Paper.pdf
Obor Informatika
Klíčová slova VerbaLex; FrameNet; linking; ontology
Popis This work presents a method of linking verbs and their valency frames in VerbaLex database developed at the Centre for NLP at the Faculty of Informatics Masaryk University to the frames in Berkeley FrameNet. While completely manual work may take a long time, the proposed semi-automatic approach requires a smaller amount of human effort to reach sufficient results. The method of linking VerbaLex frames to FrameNet frames consists of two phases. The goal of the first one is to find an appropriate FrameNet frame for each frame in VerbaLex. The second phase includes assigning FrameNet frame elements to the deep semantic roles in VerbaLex. In this work main emphasis is put on the exploitation of ontologies behind VerbaLex and FrameNet. Especially, the method of linking FrameNet frame elements with VerbaLex semantic roles is built using the information provided by the ontology of semantic types in FrameNet. Based on the proposed technique, a semi-automatic linking tool has been developed. By linking FrameNet to VerbaLex, we are able to find a non-trivial subset of the interlingual FrameNet frames (including their frame-to-frame relations), which could be used as a core for building FrameNet in Czech.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.