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sapruash avatar sapruash commented on September 4, 2024

Hi Kurt,
You would need to make some modifications to the code to make it work for semantic relatedness task.
Since, you would be working with pairsof sentences, change input placeholders to handle an additional input sentence (the second of the pair).
Calculate leaf embeddings for both sentences (call it one after another).
Calculate root embedding for both sentences (call compute state function here)
Concatenate the multiplicative and subtractive parts of the two root embeddings. (see the original paper).
Rest follow the paper ( you simply have to pass the concatenation through an additional layer (add it to the add_model_variables before projection).
Do the projection and then compute the cross entropy loss.

from recursivenn.

kurtespinosa avatar kurtespinosa commented on September 4, 2024

from recursivenn.

martin-andor avatar martin-andor commented on September 4, 2024

Hi Kurt,

Did you manage to make the code work for a two-sentence input in the end? I am an NLP master student and would like to implement Sheng Tai's paper in tensorflow 2 for a paraphrase detection task for my final project.

from recursivenn.

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