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
 
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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. doi:10.1109/WI-IAT.2011.158
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.

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