In this paper we describe the QuALiM Question Answering system which uses linguistic analysis of questions as well as candidate sentences in its answer finding process. To this en...
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
CL Research participated in the question answering and novelty tracks in TREC 2004. The Knowledge Management System (KMS), which provides a single interface for question answering...
In this paper, we present an approach to answering “Other” questions using the notion of interest marking terms. “Other” questions have been introduced in the TREC-QA track...
This paper presents a definition question answering approach, which is capable of mining textual definitions from large collections of documents. In order to automatically identify...