We present a new technique for question answering called Predictive Annotation. Predictive Annotation identifies potential answers to questions in text, annotates them accordingly...
John M. Prager, Eric W. Brown, Anni Coden, Dragomi...
We describe our participation in the WiQA 2006 pilot on question answering using Wikipedia, with a focus on comparing linkbased vs content-based retrieval. Our system currently wor...
This paper describes the architecture of a Bulgarian–Bulgarian question answering system — BulQA. The system relies on a partially parsed corpus for answer extraction. The que...
Classic textual question answering (QA) approaches that rely on statistical keyword relevance scoring without exploiting semantic content are useful to a certain extent, but are li...
Nuno Cardoso, Iustin Dornescu, Sven Hartrumpf, Joh...
QRISTAL [9] is a question answering system making intensive use of natural language processing both for indexing documents and extracting answers. It ranked first in the EQueR eva...