I want step-by-step mentoring that turns my raw idea in Natural Language Processing into a fully formed, submission-ready research paper. My own NLP skills sit at an intermediate level; I can code in Python and have used libraries such as spaCy and Hugging Face, but I have never taken a project all the way to publication. Your role is to walk me through every milestone rather than write the paper for me. We will start by refining the research question and scoping a feasible contribution. From there, you’ll help me plan the literature review, locate and annotate key references, and build a solid outline that covers Abstract, Introduction, Related Work, Methodology, Experiments, Results, Discussion, and Conclusion. I need practical advice on dataset selection, evaluation metrics (BLEU, ROUGE, F1, etc.), experiment design, and reproducibility practices—think GitHub versioning, requirements.txt, and Jupyter notebooks. Drafts will live in Google Docs or Overleaf; you’ll give detailed, section-by-section feedback, catch logical gaps, tighten language, and ensure all citations compile cleanly with BibTeX. When the manuscript is polished, guide me through formatting for the target venue, completing any ethical statements, and packaging code and supplementary material. Finally, we’ll strategize which conferences or journals best fit the work and rehearse the submission process right up to clicking “submit.” Deliverables • A written research roadmap and annotated outline • Iterative, in-document feedback on each section until approval • A pre-submission checklist covering formatting, ethics, and reproducibility items • A short list of recommended venues with submission deadlines and formatting links Acceptance criteria: I can clearly explain the contribution, the manuscript passes the venue’s formatting checker, and all materials (paper, code, data, response template) are ready for upload.