Abstract In this paper, we describe our Question Answering (QA) system called QUANTUM. The goal of QUANTUM is to find the answer to a natural language question in a large document ...
The treatment of factual data has been widely studied in different areas of Natural Language Processing (NLP). However, processing subjective information still poses important cha...
We introduce a probabilistic noisychannel model for question answering and we show how it can be exploited in the context of an end-to-end QA system. Our noisy-channel system outp...
This paper presents the extension of the ITC-irst DIOGENE Question Answering system towards multilinguality. DIOGENE relies on a well tested three-components architecture built in...
Abstract. Question answering systems aim to meet users' information needs by returning exact answers in response to a question. Traditional open domain question answering syst...