A literature review of question answering system using Named Entity Recognition

Named Entity Recognition (NER) is well-known as the core component of question answering system. NER has traditionally been developed as a component for information extraction systems and current techniques are focused on this end use. This paper describes some approaches that are used by some research in this decade. We also do some analysis regarding the approach, resource (like corpora, language and so on), and result of the research. At the end of this paper, we conclude several issues regarding NER and find out that research in question answering system is still an interesting field to work on. Some resources are still able to be utilized for machine learning tools. Building NER for the origin country of the authors will be beneficial as well.