Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models

Hakimov S, ter Horst H, Jebbara S, Hartung M, Cimiano P (2016)
In: Knowledge Engineering and Knowledge Management. Lecture Notes in Computer Science, 10024. Springer: 288-302.

Konferenzbeitrag | Veröffentlicht | Englisch
 
Download
OA 748.72 KB
Erscheinungsjahr
2016
Titel des Konferenzbandes
Knowledge Engineering and Knowledge Management
Band
10024
Seite(n)
288-302
Konferenz
20th International Conference on Knowledge Engineering and Knowledge Management
Konferenzort
Bologna, Italy
Konferenzdatum
2016-11-19 – 2016-11-23
Page URI
https://pub.uni-bielefeld.de/record/2905552

Zitieren

Hakimov S, ter Horst H, Jebbara S, Hartung M, Cimiano P. Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. In: Knowledge Engineering and Knowledge Management. Lecture Notes in Computer Science. Vol 10024. Springer; 2016: 288-302.
Hakimov, S., ter Horst, H., Jebbara, S., Hartung, M., & Cimiano, P. (2016). Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. Knowledge Engineering and Knowledge Management, Lecture Notes in Computer Science, 10024, 288-302. Springer. doi:10.1007/978-3-319-49004-5_19
Hakimov, S., ter Horst, H., Jebbara, S., Hartung, M., and Cimiano, P. (2016). “Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models” in Knowledge Engineering and Knowledge Management Lecture Notes in Computer Science, vol. 10024, (Springer), 288-302.
Hakimov, S., et al., 2016. Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. In Knowledge Engineering and Knowledge Management. Lecture Notes in Computer Science. no.10024 Springer, pp. 288-302.
S. Hakimov, et al., “Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models”, Knowledge Engineering and Knowledge Management, Lecture Notes in Computer Science, vol. 10024, Springer, 2016, pp.288-302.
Hakimov, S., ter Horst, H., Jebbara, S., Hartung, M., Cimiano, P.: Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. Knowledge Engineering and Knowledge Management. Lecture Notes in Computer Science. 10024, p. 288-302. Springer (2016).
Hakimov, Sherzod, ter Horst, Hendrik, Jebbara, Soufian, Hartung, Matthias, and Cimiano, Philipp. “Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models”. Knowledge Engineering and Knowledge Management. Springer, 2016.Vol. 10024. Lecture Notes in Computer Science. 288-302.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Copyright Statement:
This Item is protected by copyright and/or related rights. [...]
Volltext(e)
Name
748.72 KB
Access Level
OA Open Access
Zuletzt Hochgeladen
2019-09-06T09:18:39Z
MD5 Prüfsumme
481a8f58c638db2c15d8ff6a3c22f1f1

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar