Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Abstract. This paper describes the participation of the Technical University of Catalonia in the CLEF 2007 Question Answering on Speech Transcripts track. For the processing of man...
This paper describes a QA system centered in a full data-driven architecture. It applies machine learning and text mining techniques to identify the most probable answers to factoi...
This paper describes our experiments on TREC 2007 Genomics Track which is concerned with question answering extraction from full-text biomedical literatures. In our experiment, na...
In TREC Genomics a question/answering task has been proposed. A set of questions with a specific entity of interest is proposed and a set of passages from a collection of full te...