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I intend to use it to measure the similarity between essays written by students and a given theme. The theme is a one-line sentence and each essay has a couple of paragraphs. I have a dataset where essays written in conformation to the theme have a positive score ranging from 20 - 200 while essays that don't consider the theme receive 0.
From what I've glanced at the original article, and played around using the relevant pre-trained bert model in opposition to the default language, it might be a very doable thing, although not perfect. I still have some doubts about how to use the weighting, which I hope will improve the measurements I expect to get.
Anyhoo, any advice on how to approach this task? Please, any do's or don'ts are welcomed 😃
The text was updated successfully, but these errors were encountered:
After the calculations, I got the average of the scores and plotted the results into a scatter plot chart.
As the images show I didn't get any correlation of any of the BERTscores with the essays score. Does anyone have any inputs that would help to improve these results? Thank you!
Hi guys, thanks for this fantastic project.
I intend to use it to measure the similarity between essays written by students and a given theme. The theme is a one-line sentence and each essay has a couple of paragraphs. I have a dataset where essays written in conformation to the theme have a positive score ranging from
20 - 200
while essays that don't consider the theme receive0
.From what I've glanced at the original article, and played around using the relevant pre-trained bert model in opposition to the default language, it might be a very doable thing, although not perfect. I still have some doubts about how to use the weighting, which I hope will improve the measurements I expect to get.
Anyhoo, any advice on how to approach this task? Please, any do's or don'ts are welcomed 😃
The text was updated successfully, but these errors were encountered: