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jlee118 / NPRM

Code and data for the paper "A Neural Pairwise Ranking Model for Readability Assessment"
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rank_neural_networks #2

Closed brucewlee closed 2 years ago

brucewlee commented 2 years ago

Hello. I read your ACL paper. It really is good work. While looking through your code, I found the following line. What is "rank_neural_networks"? I don't find it in PyPI either.

from rank_neural_networks import BertRank, BertRank2

brucewlee commented 2 years ago

Also to add, if the labels are given 0 or 1 according to the respective passage's readability, how is NPRM so different from simple pairwise classification?

jlee118 commented 2 years ago

Hi Bruce,

Re: rank_neural_networks, that is a mistake, I will remove it soon. There is nothing there that affects how any of the code would work.

Re: simple pairwise classification, you are right, NPRM would be an instance of pairwise classification. The novelty of our paper is that we propose using a fine-tuned BERT for pairwise classification; we also construct our labels through a sampled ordering to create the binary labels. We also compared pairwise classification methods using pairwise SVM and various word-embeddings as features.

brucewlee commented 2 years ago

Thanks for the answer!