Gurevych, Iryna (2005)
Using the structure of a conceptual network in computing semantic relatedness.
Second International Joint Conference on Natural Language Processing. Jeju Island, Korea (11.10.2005-13.10.2005)
doi: 10.1007/11562214_67
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We present a new method for computing semantic relatedness of concepts. The method relies solely on the structure of a conceptual network and eliminates the need for performing additional corpus analysis. The network structure is employed to generate artificial conceptual glosses. They replace textual definitions proper written by humans and are processed by a dictionary based metric of semantic relatedness [1]. We implemented the metric on the basis of GermaNet, the German counterpart of WordNet, and evaluated the results on a German dataset of 57 word pairs rated by human subjects for their semantic relatedness. Our approach can be easily applied to compute semantic relatedness based on alternative conceptual networks, e.g. in the domain of life sciences.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2005 |
| Autor(en): | Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Using the structure of a conceptual network in computing semantic relatedness |
| Sprache: | Englisch |
| Publikationsjahr: | 2005 |
| Ort: | Berlin |
| Verlag: | Springer Verlag |
| Buchtitel: | Proceedings of the Second International Joint Conference on Natural Language Processing |
| Reihe: | Lecture Notes in Artificial Intelligence |
| Band einer Reihe: | 3651 |
| Veranstaltungstitel: | Second International Joint Conference on Natural Language Processing |
| Veranstaltungsort: | Jeju Island, Korea |
| Veranstaltungsdatum: | 11.10.2005-13.10.2005 |
| DOI: | 10.1007/11562214_67 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | We present a new method for computing semantic relatedness of concepts. The method relies solely on the structure of a conceptual network and eliminates the need for performing additional corpus analysis. The network structure is employed to generate artificial conceptual glosses. They replace textual definitions proper written by humans and are processed by a dictionary based metric of semantic relatedness [1]. We implemented the metric on the basis of GermaNet, the German counterpart of WordNet, and evaluated the results on a German dataset of 57 word pairs rated by human subjects for their semantic relatedness. Our approach can be easily applied to compute semantic relatedness based on alternative conceptual networks, e.g. in the domain of life sciences. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 20 Nov 2008 08:24 |
| Letzte Änderung: | 05 Dez 2024 11:21 |
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