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...
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...
State-of-the-art question answering (QA) systems employ termdensity ranking to retrieve answer passages. Such methods often retrieve incorrect passages as relationships among ques...
Hang Cui, Renxu Sun, Keya Li, Min-Yen Kan, Tat-Sen...
The need of having a Passage Retrieval (PR) system for Arabic texts is due essentially to our aim to build an Arabic Question Answering (QA) system in our research team. We have ch...
This paper describes the baselines proposed for the ResPubliQA 2009 task. These baselines are purely based on information retrieval techniques. The selection of an adequate retrie...