Summary of grad mentor/research group meeting:
- Hugo and Liliana presented their text classification models using bag of words and tf-idf implementations
- According to the mentors our models were good, however intuitively they said that tf-idf doesn’t really work with Naive Bayes which was contrary to what our understanding was while doing the project
- They also tasked us with a harder task for next time which was to use natural language inference for a classification task
- Clarified some questions on the research proposal and their setup for the project
Summary of team meeting:
- I missed some team meetings this week because I was really sick with the flu
- Sunday
- We spent the time researching more research papers to rewrite the research proposal
- I spent the time looking for statistics for the motivation on teacher shortages
Summary of meeting with Chinmay:
<Starts in the second half of the Fall quarter> <Any new insights from discussions with Chinmay, and changes in the task distribution, challenges that Chinmay helped you resolved, refined versions of your questions for your mentors, anything that is still blocking you, any other concerns>
Weekly goals:
- [x] Attend research team meeting and record attendance
- [ ] Attend CS165B
- [x] Complete weekly assignments
- [x] Work on HG News text classifier model
- [x] Understand how we should represent our words numerically
- [x] Find an algorithm or model that can accomplish our task
- [x] Code prototype of news article text classifier
- [x] Code final draft of news article text classifier
- [x] Understand deeply the mathematics behind our model
- [ ] Take a look at transformers and its application to this task
- [x] Rewrite research proposal
- [ ] Fix motivation
- [x] Fix context
- [x] Fix related works
Accomplishments:
<List of things other than the above goals that you completed in the week>
Details of how you accomplished your goals:
Wednesday (1 hours) for assignments:
- Working on grad mentor interview
Grad Mentor Interview