This paper presents a Multiple Combined Ranker (MCR) approach for answering definitional questions. Generally, our MCR approach first extracts question target-related knowledge as ...
With the ever-increasing amount of textual information available, it is becoming increasingly unlikely that a single document will provide the answer to a question. A more likely ...
Abstract. This paper describes a full data-driven system for question answering. The system uses pattern matching and statistical techniques to identify the relevant passages as we...
In this paper, we propose an alignment-based surface pattern approach, called ABSP, which integrates semantic information into syntactic patterns for question answering (QA). ABSP...
Syntactic information potentially plays a much more important role in question answering than it does in information retrieval. Although many people have used syntactic evidence i...