This paper presents a Multiple Combined Ranker (MCR) approach for answering definitional questions. Generally, our MCR approach first extracts question target-related knowledge as ...
We present a strategy for answering fact-based natural language questions that is guided by a characterization of realworld user queries. Our approach, implemented in a system cal...
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...
Most question-answering systems contain a classifier module which determines a question category, based on which each question is assigned an answer type. However, setting up synt...
Danica Damljanovic, Milan Agatonovic, Hamish Cunni...
This paper explores the use of set expansion (SE) to improve question answering (QA) when the expected answer is a list of entities belonging to a certain class. Given a small set...
Richard C. Wang, Nico Schlaefer, William W. Cohen,...