This paper presents the QALL-ME benchmark, a multilingual resource of annotated spoken requests in the tourism domain, freely available for research purposes. The languages curren...
Elena Cabrio, Milen Kouylekov, Bernardo Magnini, M...
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...
This paper describes a question answering system that automatically finds answers to questions in a large collection of documents. The prototype CNLP question answering system was...
Anne Diekema, Xiaoyong Liu, Jiangping Chen, Hudong...
Every day, people widely use information retrieval (IR) systems to answer their questions. We utilized the TREC 2007 complex, interactive question answering (ciQA) track to measur...
This paper describes the retrieval experiments for the main task and list task of the TREC-10 questionanswering track. The question answering system described automatically finds ...
Jiangping Chen, Anne Diekema, Mary D. Taffet, Nanc...