TAILIEUCHUNG - Báo cáo khoa học: "A Self-Learning Agent for Exchanging Pop Trivia"

This paper describes a self-learning software agent who collects and learns knowledge from the web and also exchanges her knowledge via dialogues with the users. The agent is built on top of information extraction, web mining, question answering and dialogue system technologies, and users can freely formulate their questions within the gossip domain and obtain the answers in multiple ways: textual response, graph-based visualization of the related concepts and speech output. | GOSSIP GALORE A Self-Learning Agent for Exchanging Pop Trivia Xiwen Cheng Peter Adolphs Feiyu Xu Hans Uszkoreit Hong Li DFKI GmbH Language Technology Lab Stuhlsatzenhausweg 3 D-66123 Saarbrucken Germany feiyu uszkoreit lihong @ Abstract This paper describes a self-learning software agent who collects and learns knowledge from the web and also exchanges her knowledge via dialogues with the users. The agent is built on top of information extraction web mining question answering and dialogue system technologies and users can freely formulate their questions within the gossip domain and obtain the answers in multiple ways textual response graph-based visualization of the related concepts and speech output. 1 Introduction The system presented here is developed within the project Responsive Artificial Situated Cognitive Agents Living and Learning on the Internet RAS-CALLI supported by the European Commission Cognitive Systems Programme IST-27596-2004 . The goal of the project is to develop and implement cognitively enhanced artificial agents using technologies in natural language processing question answering web-based information extraction semantic web and interaction driven profiling with cognitive modelling Krenn 2008 . This paper describes a conversational agent Gossip Galore an active self-learning system that can learn update and interpret information from the web and can make conversations with users and provide answers to their questions in the domain of celebrity gossip. In more detail by applying a minimally supervised relation extraction system Xu et al. 2007 Xu et al. 2008 the agent automatically collects the knowledge from relevant websites and also communicates with the users using a question-answering engine via a 3D graphic interface. This paper is organized as follows. Section 2 gives an overview of the system architecture and Figure 1 Gossip Galore responding to Tell me something about Carla Bruni presents the design

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