Midterm Presentation Outline - Ljia1009/LING573_AutoMeta GitHub Wiki

Page 1: Title

  • Project name
  • Team name
  • Team members

Page 2: Introduction

  • Task Description
  • Motivation

Page 3-4: Data & Related Work

  • Description of the ORSUM dataset: Provenance, genre, language, summary stats, other relevant details
  • Brief description of the ORSUM and MReD paper

Page 5: Model

  • Model architecture(s)
  • Motivation for the choices.

Page 6: Evaluation

  • Evaluation methods and metrics used
  • Justification for the choices

Page 7: Results

  • A table or figure for the results

Page 8-9: Analysis & Discussion

  • Interpretation of the results
  • Any surprise?
  • Impact of the work?
  • Ethical considerations?
  • Best-case and worst-case scenarios for real-world applications?

Page 10: Conclusion & Next Steps

  • Summary of contributions and findings
  • Next steps for improvements

Page 11: Ending

  • Thank you!
  • Questions?