State-of-the-art question answering (QA) systems employ termdensity ranking to retrieve answer passages. Such methods often retrieve incorrect passages as relationships among ques...
Hang Cui, Renxu Sun, Keya Li, Min-Yen Kan, Tat-Sen...
This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
This paper discusses our system’s results at the Spanish Question Answering task of CLEF 2007. Our system is centered in a full data-driven approach that combines information ret...
Each day, a software developer needs to answer a variety of questions that require the integration of different kinds of project information. Currently, answering these questions...
This paper presents a Multiple Combined Ranker (MCR) approach for answering definitional questions. Generally, our MCR approach first extracts question target-related knowledge as ...