Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...
This paper discusses the QA system submitted by Dhirubhai Ambani Institute of Information and Communication Technology, India in the ResPubliQA 2010. We have participated in the mo...
This paper presents a method for cross-language question answering. The method combines multiple query translations in order to improve the answering precision. The combination of ...
Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers,...
We examine the problem of retrieving the top-m ranked items from a large collection, randomly distributed across an n-node system. In order to retrieve the top m overall, we must ...