Project 1 Generative Text

Your Name, yourcontact@unl.edu

(Your teammate's contact info, if appropriate)

Abstract

Include your abstract here. This should be one paragraph clearly describing your concept, method, and results. This should tell us what architecture/approach you used. Also describe your creative goals, and whether you were successful in achieving them. Also could describe future directions.

Model/Data

Briefly describe the files that are included with your repository:

• trained models
• training data (or link to training data). what is your corpus?

Code

Your code for generating your project:

• training_code.py or training_code.ipynb - your training code
• generative_code.py or generative_code.ipynb - your generation code

Results

• Documentation of your generative text in an effective form. A file with your generated text (.pdf, .doc, .txt).

Technical Notes

Any implementation details or notes we need to repeat your work.

• Does this code require other pip packages, software, etc?
• Does it run on some other (non-datahub) platform? (CoLab, etc.)

Reference

References to any papers, techniques, repositories you used:

• Papers
  • This is a paper
• Repositories
• Blog posts