This paper presents a Multiple Combined Ranker (MCR) approach for answering definitional questions. Generally, our MCR approach first extracts question target-related knowledge as ...
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...
We present a series of experiments to demonstrate the validity of Relative Utility (RU) as a measure for evaluating extractive summarizers. RU is applicable in both singledocument...
Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on...
This paper presents a system for generating user tailored evaluative arguments, known as the Generator of Evaluative Arguments (GEA). GEA design is based on a pipelined architectur...