INTRODUCTION LINGUAL QA TRACKS, FOCUSING ON EUROPEAN AND ASIAN LAN...

1. Introduction

lingual QA tracks, focusing on European and Asian languages respectively [4]. Question Answering (QA) is a research area that combines Moreover, QA systems are classified into two main research from different, but related, fields which are categories, namely open-domain QA systems and closed-Information Retrieval (IR), Information Extraction (IE) and domain QA systems. Open-domain question answering deals Natural Language Processing (NLP). with questions about nearly everything and can only rely on Actually, what a current information retrieval system or universal ontology and information such as the World Wide search engine can do is just “document retrieval”, i.e. given Web. On the other hand, closed-domain question answering some keywords it only returns the relevant ranked documents deals with questions under a specific domain (music, weather that contain these keywords. Information retrieval systems do forecasting etc.) The domain specific QA system involves not return answers, and accordingly users are left to extract heavy use of natural language processing systems formalized answers from the documents themselves. However, what a by building a domain specific ontology. [5] user really wants is often a precise answer to a question. [1], [2]. Hence, the main objective of all QA systems is to retrieve