The NICT Concept Dictionary
In this demonstration we present a system that guides a users information search (or knowledge discovery) by displaying, in a coordinated manner, many valuable keywords having important semantic relations to the users topic of interest. For example, the system contains large-scale databases of typical and not-so-typical semantic relations like object/troubles, troubles/preventions, cause/effects or foods/health effects, and so on. Clicking these keywords issues a usual Web search or leads to further recursive exploration of the semantic relation space, enabling the discovery of valuable unknown unknowns for the user. The semantic relations in the system are automatically acquired from a large collection of Web documents using state-of-the-art knowledge acquisition methods. These methods require only minimal human intervention, so the system can be easily customized to obtain many different kinds of relations and adapted to new target domains. Additionally, we demonstrate the systems usefulnes for innovation support based on analogy and lexical word similarity. Finally, we demonstrate the systems recently developed speech interface, which enables the user to perform on-the-fly information extraction from 600 million Web pages using natural language questions, in the form of an speech-enabled question answering (QA) system.
De Saeger Stijn Torisawa Kentaro Kazama Junichi Ohtake Kiyonori Varga Istvan Van Yulan
National Institute of Information and Communications Technology, Japan
国际会议
2010 4th International Universal Communication Symposium(第四届国际普遍交流学术研讨会 IUCS 2010)
北京
英文
402
2010-10-18（万方平台首次上网日期，不代表论文的发表时间）