Harvesting Wikipedia knowledge to identify topics in ongoing natural language dialogs
Breuing A, Waltinger U, Wachsmuth I (2011)
In: Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011). IEEE: 445-450.
Konferenzbeitrag
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Einrichtung
Abstract / Bemerkung
This paper introduces a model harvesting the crowd-sourced encyclopedic knowledge provided by Wikipedia to improve the conversational abilities of an artificial agent. More precisely, we present a model for automatic topic identification in ongoing natural language dialogs. On the basis of a graph-based representation of the Wikipedia category system, our model implements six tasks essential for detecting the topical overlap of coherent dialog contributions. Thereby the identification process operates online to handle dialog streams of constantly changing topical threads in real-time. The realization of the model and its application to our conversational agent aims to improve human-agent conversations by transferring human-like topic awareness to the artificial interlocutor.
Stichworte
topic identification;
Wikipedia;
information retrieval;
human-agent interaction
Erscheinungsjahr
2011
Titel des Konferenzbandes
Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011)
Seite(n)
445-450
Konferenz
International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011)
Konferenzort
Lyon, France
ISBN
978-1-4577-1373-6
Page URI
https://pub.uni-bielefeld.de/record/2144354
Zitieren
Breuing A, Waltinger U, Wachsmuth I. Harvesting Wikipedia knowledge to identify topics in ongoing natural language dialogs. In: Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011). IEEE; 2011: 445-450.
Breuing, A., Waltinger, U., & Wachsmuth, I. (2011). Harvesting Wikipedia knowledge to identify topics in ongoing natural language dialogs. Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011), 445-450. IEEE. https://doi.org/10.1109/WI-IAT.2011.158
Breuing, Alexa, Waltinger, Ulli, and Wachsmuth, Ipke. 2011. “Harvesting Wikipedia knowledge to identify topics in ongoing natural language dialogs”. In Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011), 445-450. IEEE.
Breuing, A., Waltinger, U., and Wachsmuth, I. (2011). “Harvesting Wikipedia knowledge to identify topics in ongoing natural language dialogs” in Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011) (IEEE), 445-450.
Breuing, A., Waltinger, U., & Wachsmuth, I., 2011. Harvesting Wikipedia knowledge to identify topics in ongoing natural language dialogs. In Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011). IEEE, pp. 445-450.
A. Breuing, U. Waltinger, and I. Wachsmuth, “Harvesting Wikipedia knowledge to identify topics in ongoing natural language dialogs”, Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011), IEEE, 2011, pp.445-450.
Breuing, A., Waltinger, U., Wachsmuth, I.: Harvesting Wikipedia knowledge to identify topics in ongoing natural language dialogs. Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011). p. 445-450. IEEE (2011).
Breuing, Alexa, Waltinger, Ulli, and Wachsmuth, Ipke. “Harvesting Wikipedia knowledge to identify topics in ongoing natural language dialogs”. Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011). IEEE, 2011. 445-450.
Google Scholar
ISBN Suche