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
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Erscheinungsjahr
2016
Titel des Konferenzbandes
Knowledge Engineering and Knowledge Management
Serien- oder Zeitschriftentitel
Lecture Notes in Computer Science
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
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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, Sherzod, ter Horst, Hendrik, Jebbara, Soufian, Hartung, Matthias, and Cimiano, Philipp. 2016. “Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models”. In Knowledge Engineering and Knowledge Management, 10024:288-302. Lecture Notes in Computer Science. Springer.
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.
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