id: 05796590
dt: a
an: 05796590
au: Xu, Feiyu; Adolphs, Peter; Uszkoreit, Hans; Cheng, Xiwen; Li, Hong
ti: Gossip galore: an embodied conversational agent for collecting and sharing
    pop trivia from the web.
so: Filipe, Joaquim (ed.) et al., Agents and artificial intelligence.
    International conference, ICAART 2009, Porto, Portugal, January
    19‒21, 2009. Revised selected papers. Berlin: Springer (ISBN
    978-3-642-11818-0/pbk; 978-3-642-11819-7/ebook). Communications in
    Computer and Information Science 67, 164-176 (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-11819-7_13
ab: Summary: This paper presents a novel approach to a self-learning agent who
    collects and learns new knowledge from the web and exchanges her
    knowledge via dialogues with the users. The application domain is
    gossip about celebrities in the music world. The agent can inform
    herself and update the acquired knowledge by observing the web. Fans of
    musicians can ask for gossip information about stars, bands or people
    and groups related to them. This agent is built on top of information
    extraction, web mining, question answering and dialogue system
    technologies. The minimally supervised machine learning method for
    relation extraction gives the agent the capability to learn and update
    knowledge constantly from the web. The extracted relations are
    structured and linked with each other. Data mining is applied to the
    learned data to induce the social network among the artists and related
    people. The knowledge-intensive question answering technology enhanced
    by domain-specific inference and active memory allows the agent to have
    vivid and interactive conversations with users by utilizing natural
    language processing. Users can freely formulate their questions within
    the gossip data domain and access the answers in different ways:
    textual response, graph-based visualization of the related concepts and
    speech output.
rv: