Comments (4)
@saidbleik I was thinking of starting an explainable text classification notebook. It would cover comparing word vectors, visualizing them with t-SNE, and using a less performant but explainable model and showcasing how to explore the explanation/model.
Considering HAN since a few team members are familiar with it.
It will focus on explanation but since the task would be classification(it would not be competitive with BERT performance wise) I am asking here.
Do you think that would be a good example notebook for me to start as a separate issue? @nikhilrj @miguelgfierro
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Of course, that would be a nice example under the TC scenarios. @awaemmanuel is planning to work on a fastText example and the MAIDAP team has done some nice work around embeddings, in case you want to use their module (see #47 - under scenarios and under utils).
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I like the idea, we an iterate about it
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Have a general notebook for text classification that show how to use English+other languages (in English)
Then link to a notebook in Hindi or Chinese doing text classification in those languages (written in hindi and chinese) -> INVESTIGATE THIS @miguelgfierro to follow up
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