Add to ORKGBreuing A, Wachsmuth I. Equipping a conversational agent with access to Wikipedia knowledge. In: Proceedings of the KogWis 2010. Potsdam: Universitätsverlag Potsdam; 2010: 89-89
TutorialInternational audienceThe Web bears the potential of being the world's greatest encyclopedic...
The increasing availability of documents in digital form, together with the corresponding volume of ...
This thesis focuses on the design of algorithms for the extraction of knowledge (in terms of entitie...
Waltinger U, Breuing A, Wachsmuth I. Digital fruits for lunch: Feeding embodied conversational agent...
Breuing A. Improving Human-Agent Conversations by Accessing Contextual Knowledge from Wikipedia. In:...
Breuing A, Waltinger U, Wachsmuth I. Harvesting Wikipedia knowledge to identify topics in ongoing na...
Breuing A, Wachsmuth I. Static and dynamic knowledge for the embodied conversational agent Max - A f...
Abstract—This paper introduces a model harvesting the crowd-sourced encyclopedic knowledge provided ...
Waltinger U, Breuing A, Wachsmuth I. Interfacing virtual agents with collaborative knowledge: Open d...
There are many opportunities to improve the interactivity of information retrieval systems beyond th...
{zesch,gurevych,max} (at) tk.informatik.tu-darmstadt.de Abstract. We analyze Wikipedia as a lexical ...
When humans approach the task of text categorization, they interpret the specific wording of the doc...
In this paper we investigate the coverage of the two knowledge sources WordNet and Wikipedia for the...
Nowadays natural language generation (NLG) is used in everything from news reporting and chatbots to...
Breuing A, Waltinger U, Wachsmuth I. Talking topically to the artificial agent Max. In: Postersessi...
TutorialInternational audienceThe Web bears the potential of being the world's greatest encyclopedic...
The increasing availability of documents in digital form, together with the corresponding volume of ...
This thesis focuses on the design of algorithms for the extraction of knowledge (in terms of entitie...
Waltinger U, Breuing A, Wachsmuth I. Digital fruits for lunch: Feeding embodied conversational agent...
Breuing A. Improving Human-Agent Conversations by Accessing Contextual Knowledge from Wikipedia. In:...
Breuing A, Waltinger U, Wachsmuth I. Harvesting Wikipedia knowledge to identify topics in ongoing na...
Breuing A, Wachsmuth I. Static and dynamic knowledge for the embodied conversational agent Max - A f...
Abstract—This paper introduces a model harvesting the crowd-sourced encyclopedic knowledge provided ...
Waltinger U, Breuing A, Wachsmuth I. Interfacing virtual agents with collaborative knowledge: Open d...
There are many opportunities to improve the interactivity of information retrieval systems beyond th...
{zesch,gurevych,max} (at) tk.informatik.tu-darmstadt.de Abstract. We analyze Wikipedia as a lexical ...
When humans approach the task of text categorization, they interpret the specific wording of the doc...
In this paper we investigate the coverage of the two knowledge sources WordNet and Wikipedia for the...
Nowadays natural language generation (NLG) is used in everything from news reporting and chatbots to...
Breuing A, Waltinger U, Wachsmuth I. Talking topically to the artificial agent Max. In: Postersessi...
TutorialInternational audienceThe Web bears the potential of being the world's greatest encyclopedic...
The increasing availability of documents in digital form, together with the corresponding volume of ...
This thesis focuses on the design of algorithms for the extraction of knowledge (in terms of entitie...