In this paper we describe the QuALiM Question Answering system which uses linguistic analysis of questions as well as candidate sentences in its answer finding process. To this en...
There has recently been a significant increase in the number of community-based question and answer services on the Web where people answer other peoples’ questions. These serv...
Quantifying the semantic relevance between questions and their candidate answers is essential to answer detection in social media corpora. In this paper, a deep belief network is ...
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
We address the task of answering natural language questions by using the large number of Frequently Asked Questions (FAQ) pages available on the web. The task involves three steps...