Abstract In this paper, we describe our Question Answering (QA) system called QUANTUM. The goal of QUANTUM is to find the answer to a natural language question in a large document ...
In this paper we describe Tokyo Institute of Technology’s attempt at the TREC2007 question answering (QA) track. Keeping the same theoretical QA model as for the TREC2006 task, ...
Edward W. D. Whittaker, Matthias H. Heie, Josef R....
This paper reports on the QAST track of CLEF aiming to evaluate Question Answering on Speech Transcriptions. Accessing information in spoken documents provides additional challeng...
Lori Lamel, Sophie Rosset, Christelle Ayache, Djam...
Question Answering (QA) is a task that deserves more collaboration between Natural Language Processing (NLP) and Knowledge Representation (KR) communities, not only to introduce r...
CL Research’s question-answering system for TREC 2003 was modified away from reliance on database technology to the core underlying technology of using massive XML-tagging for p...