Question answering systems is a wide and active area,
with much scope of further research. In our project we look into the semantics of the web documents (
taken from Wikipedia) to answer the questions, asked from the user. The principal algorithm used is
PLSA to find the sentences, in which the
topic is similar to the query. Then we use cosine similarity algorithm to rank the answers.
There can be many types of Question Answering system. In our project, we have focused
on descriptive question answering, where the system gives the most probable sentence as the
answer, to the question asked, from its KB.