In recent years, graphs in natural language processing and specifically natural language generation attract the interest of research community. Tasks like machine translation, text summarization, question answering, story telling and many mores require in many cases processing of knowledge stored in a graph format. The variety and plenty of algorithms to address graph to sequence problems are in the scope of this thesis by conducting a systematic literature review. It will cover all the important contributions to the research community and subsequently will raise ideas for further exploration in this domain.
Text configuration: The text of D.E. formatted in A4 page size, 1.2 line spacing, Times New Roman font size 11.
Text alignment is complete. The text, excluding appendices, must be at least 60 pages long. All page margins should be 2.5cm. The footer and header will be 1.25cm from the edges. Contents: • Cover. • Second sheet. • Introduction. • Summary. • Summary in English (Abstract).
Table of contents. • Index of figures and tables, where the titles of the figures and tables of the text of the work are mentioned and reference is made to the relevant pages. • Introduction (includes the context in which the D.E. is included, the objectives, purposes and deliverables of the D.E., as well as the description of the chapters that follow). •Individual chapters, where each has a title referring to its content and numbering. Each chapter includes sections, which are also titled and numbered. Thus, the first section of the first chapter is numbered 1.1, the second section 1.2, etc. Each chapter will have an introduction at the beginning and an epilogue at the end. The epilogue summarizes the main points of each chapter. • Conclusions and/or suggestions for improvement (constitutes an independent chapter of the D.E.). • References. • Bibliography. • Appendices, optional, in cases where code must be included, manufacturer’s data sheets, questionnaires, experiment extracts, flowcharts, etc.
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