CL Research's question-answering system (DIMAP-QA) for TREC-10 only slightly extends its semantic relation triple (logical form) technology in which documents are fully parse...
CL Research's question-answering system (DIMAP-QA) for TREC-9 significantly extends its semantic relation triple (logical form) technology in which documents are fully parsed...
Abstract. In this paper, we present a method for the automatic acquisition of semantic-based reformulations from natural language questions. Our goal is to find useful and generic ...
The PISAB Question Answering system is based on a combination of Information Extraction and Information Retrieval techniques. Knowledge extracted from documents is modeled as a se...
This paper describes the architecture, operation and results obtained with the Question Answering prototype developed in the Department of Language Processing and Information Syst...