Description: Wikipedia-based question answering system for natural language questions, open topic model, Wiki, Wikipedia, Knowledge Enhanced Embodied Cognitive Interaction Technology.
computer science and artificial intelligence group bielefeld (1)
In the KnowCIT project we extend the conversational abilities of the conversational agent MAX by equipping him with access to collaboratively constructed knowledge drawn from the online encyclopedia Wikipedia . By means of the crowd-sourced knowledge resource, the agent is able to identify, label, track, and continue the topic of a dialog as the interlocutor of a human dialog partner. This allows him to answer questions, to detect topic changes and to react meaningfully to the challenge of dialogical dynami
For the evaluation of the WikiQA system we utilized 200 questions from the CLEF-2007 monolingual QA task, using German as the target language. Note that we manually evaluated the answers by means of their sentence representation only. That is, the ex- act answer has not been extracted, but had to be included in the answer sentence as determined by the system:
The knowledge base of WikiQA utilizes the German Wikipedia dump (Version 10/2010). More precisely, it utilizes 1.063.772 articles and 88.883 categories. The entire corpus was linguistically analyzed, and subdivided into 30.890.452 sentences.