Add to ORKGBreuing A, Waltinger U, Wachsmuth I. Talking topically to the artificial agent Max. In: Postersession at the Interdisciplinary College. Sankt Augustin, Germany; 2011: 488
Waltinger U, Breuing A, Wachsmuth I. Digital fruits for lunch: Feeding embodied conversational agent...
The article proposes a system for knowledge-based conversation designed for Social Robots and other ...
Finding threads in textual dialogs is emerging as a need to better organize stored knowledge. We cap...
bielefeld.de How do we recognize a topic in dialog? How can we detect topic shifts? How do we know w...
Breuing A, Wachsmuth I. Let's talk topically with artificial agents! Providing agents with humanlik...
Breuing A, Waltinger U, Wachsmuth I. Harvesting Wikipedia knowledge to identify topics in ongoing na...
Abstract—This paper introduces a model harvesting the crowd-sourced encyclopedic knowledge provided ...
Breuing A, Wachsmuth I. Equipping a conversational agent with access to Wikipedia knowledge. In: Pr...
In this thesis, we aim to contribute to ongoing research in the field of human- computer dialogue an...
International audienceTopics play an important role in coherence in dialogue, as what is currently d...
The paper discusses mechanisms for topic management in conversations, concentrating on interactions ...
Flexible nontask-oriented conversational agents require content for generating responses and mechani...
This paper presents a novel data-driven Topic Switch Model based on a cognitive representation of a ...
Maas JF, Spexard T, Fritsch J, Wrede B, Sagerer G. BIRON, what’s the topic? - A Multi-Modal Topic Tr...
Breuing A. Improving Human-Agent Conversations by Accessing Contextual Knowledge from Wikipedia. In:...
Waltinger U, Breuing A, Wachsmuth I. Digital fruits for lunch: Feeding embodied conversational agent...
The article proposes a system for knowledge-based conversation designed for Social Robots and other ...
Finding threads in textual dialogs is emerging as a need to better organize stored knowledge. We cap...
bielefeld.de How do we recognize a topic in dialog? How can we detect topic shifts? How do we know w...
Breuing A, Wachsmuth I. Let's talk topically with artificial agents! Providing agents with humanlik...
Breuing A, Waltinger U, Wachsmuth I. Harvesting Wikipedia knowledge to identify topics in ongoing na...
Abstract—This paper introduces a model harvesting the crowd-sourced encyclopedic knowledge provided ...
Breuing A, Wachsmuth I. Equipping a conversational agent with access to Wikipedia knowledge. In: Pr...
In this thesis, we aim to contribute to ongoing research in the field of human- computer dialogue an...
International audienceTopics play an important role in coherence in dialogue, as what is currently d...
The paper discusses mechanisms for topic management in conversations, concentrating on interactions ...
Flexible nontask-oriented conversational agents require content for generating responses and mechani...
This paper presents a novel data-driven Topic Switch Model based on a cognitive representation of a ...
Maas JF, Spexard T, Fritsch J, Wrede B, Sagerer G. BIRON, what’s the topic? - A Multi-Modal Topic Tr...
Breuing A. Improving Human-Agent Conversations by Accessing Contextual Knowledge from Wikipedia. In:...
Waltinger U, Breuing A, Wachsmuth I. Digital fruits for lunch: Feeding embodied conversational agent...
The article proposes a system for knowledge-based conversation designed for Social Robots and other ...
Finding threads in textual dialogs is emerging as a need to better organize stored knowledge. We cap...