  Segmenting an unordered text document into different sections is a very
useful task in many text processing applications like multiple document
summarization, question answering, etc. This paper proposes structuring of an
unordered text document based on the keywords in the document. We test our
approach on Wikipedia documents using both statistical and predictive methods
such as the TextRank algorithm and Google's USE (Universal Sentence Encoder).
From our experimental results, we show that the proposed model can effectively
structure an unordered document into sections.
