In the current state of the rapid growth of information resources and the huge number of requests submitted by users to existing information retrieval systems; recently, Question ...
This paper presents an open-domain textual Question-Answering system that uses several feedback loops to enhance its performance. These feedback loops combine in a new way statist...
Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca,...
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 ...
This paper presents our experiments in applying semantic information to improve the precision of the information retrieval module in a closed-domain question-answering system. Tha...
As semantic markup becomes ubiquitous, it will become important to be able to ask queries and obtain answers, using natural language (NL) expressions, rather than the keyword-based...