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SBERT for Opinion Sentences

Code for "Measuring Similarity of Opinion-bearing Sentences".

Dataset

We provide the crowd annotations for sentence pairs constructed from the Restaurant and Laptop english dataset from SemEval 2016. You will need to download the SemEval2016 Task5 ABSA Subtask 1 dataset TEST data and save it into the "data" folder. The file names should be "EN_LAPT_SB1_TEST_.xml.gold" and "EN_REST_SB1_TEST.xml.gold". To combine the anntotations and sentences, you may use the code "mturkannotation_forModel.R" to process the files.

Code

The code are written in Python 3 and R.

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Code for "Measuring Similarity of Opinion-bearing Sentences"

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