Question Answering (QA) technology aims at providing relevant answers to natural language questions. Most Question Answering research has focused on mining document collections co...
Nicolas Moreau, Olivier Hamon, Djamel Mostefa, Sop...
The focus of this paper is a question answering system, where the answers are retrieved from a collection of textual documents. The system also includes automatic document summariz...
We present a strategy for answering fact-based natural language questions that is guided by a characterization of realworld user queries. Our approach, implemented in a system cal...
This paper presents ListWebQA, a question answering system that is aimed specifically at extracting answers to list questions exclusively from web snippets. Answers are identifi...
The JAVELIN system integrates a flexible, planning-based architecture with a variety of language processing modules to provide an open-domain question answering capability on fre...