  Question Answering (QA) is not a new research field in Natural Language
Processing (NLP). However in recent years, QA has been a subject of growing
study. Nowadays, most of the QA systems have a similar pipelined architecture
and each system use a set of unique techniques to accomplish its state of the
art results. However, many things are not clear in the QA processing. It is not
clear the extend of the impact of tasks performed in earlier stages in
following stages of the pipelining process. It is not clear, if techniques used
in a QA system can be used in another QA system to improve its results. And
finally, it is not clear in what setting should be these systems tested in
order to properly analyze their results.
