QUESTION

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.

SOLUTION

Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

✅ Step-by-Step Guide to Writing Your Thesis on Graph-to-Sequence in NLP

Step 1: Understand the Thesis Scope and Formatting Requirements

Topic: Systematic literature review of graph-to-sequence algorithms in NLP/NLG tasks (machine translation, text summarization, question answering, storytelling, etc.).
Length: Minimum 60 pages (excluding appendices).
Formatting:
- A4 page size
- Times New Roman, font size 11
- Line spacing 1.2
- Full justification (complete alignment)
- Margins: 2.5 cm all around
- Headers and footers 1.25 cm from edges

Step 2: Structure Your Document as Per Guidelines

Your thesis will include the following major sections:

Cover Page
Second Sheet (usually declaration or dedication page)
Introduction
Summary (in native language)
Abstract (summary in English)
Table of Contents
Index of Figures and Tables
Chapters (numbered, each with intro and epilogue)
Conclusions and/or Suggestions
References
Bibliography
Appendices (optional)

Step 3: Plan and Write Each Section

1. Cover Page and Second Sheet

Follow your institution’s specific formatting rules (title, author, date, advisor, etc.).

2. Introduction (3–5 pages)

Present the context and importance of graph-based approaches in NLP/NLG.
Clearly state the objectives and purposes of your thesis.
Explain what deliverables your thesis will provide (systematic review, gap identification, future research ideas).
Briefly describe the structure of the thesis (chapter summaries).

3. Summary and Abstract (1–2 pages each)

Write concise overviews of your thesis in two languages (your native language and English).
Highlight purpose, methods, key findings, and implications.

4. Table of Contents

List chapters, sections, subsections with page numbers.
Use consistent numbering (e.g., Chapter 1, Section 1.1, etc.).

5. Index of Figures and Tables

List all figures and tables by title and page number.
Make sure figure/table captions are descriptive and consistent.

6. Chapters

Plan to have several chapters, each focused on a major aspect of the topic. Each chapter should start with an introduction and end with an epilogue summarizing key points.

Suggested chapter breakdown:

Chapter 1: Background and Fundamentals
- NLP and NLG overview
- Introduction to graph structures and graph theory basics
- Importance of graph representations in NLP
Chapter 2: Graph-to-Sequence Models and Algorithms
- Survey of popular models (Graph Neural Networks, Graph Convolutional Networks, Graph Attention Networks)
- Algorithmic approaches for encoding graphs and generating sequences
Chapter 3: Applications in NLP Tasks
- Machine translation
- Text summarization
- Question answering
- Storytelling and other tasks
Chapter 4: Evaluation Metrics and Challenges
- Metrics used in graph-to-sequence tasks
- Common challenges (scalability, complexity, data sparsity)
Chapter 5: Future Directions and Open Research Questions
- Emerging trends
- Gaps identified through your review
- Suggestions for future work

7. Conclusions and/or Suggestions

Summarize the most important findings from your review.
Highlight the strengths and weaknesses of current approaches.
Propose specific improvements or new research avenues.

8. References and Bibliography

Use consistent citation style (e.g., IEEE, APA).
Include all papers, articles, books cited.
Bibliography may include additional relevant literature not cited directly.

9. Appendices (Optional)

Add supporting material: code snippets, extended tables, data sheets, flowcharts, questionnaires, experiment details.

Step 4: Writing Tips

Use clear and precise language. Avoid jargon without explanation.
Organize your literature review chronologically and thematically.
Use figures and tables to summarize complex information (e.g., comparison of algorithms).
Keep paragraphs focused: start with a topic sentence, followed by supporting details.
Write your chapter introductions to outline what will be covered and epilogues to recap main ideas.
Proofread carefully for formatting consistency and grammar.

Step 5: Final Formatting and Submission

Double-check margins, fonts, and spacing.
Ensure page numbers and headers/footers are correctly placed.
Check your table of contents, index of figures and tables for accuracy.
Compile all components into a single PDF or required format for submission.

Graph-to-Sequence Models in Natural Language Processing: A Systematic Literature Review