The paper inspired us most describes skip-thought vector algorithm to track the sentence semantics. Sentences that share semantic and syntactic properties are thus mapped to similar vector representations. Future Work • We will find a way to improve training efficiency in further and reduce computational complexity in network parameterization. • In future, instead of a simple description of the...