LorenzoAgnolucci/BERT_for_ABSA
In this work (Targeted) Aspect-Based Sentiment Analysis task is converted to a sentence-pair classification task and a pre-trained BERT model is fine-tuned on it.
Constructs auxiliary sentences to reformulate aspect-sentiment pairs, enabling BERT to leverage sequence pair encoding through the Hugging Face Transformers library and PyTorch. Includes preprocessing scripts for SemEval2014 and SentiHood datasets, with evaluation workflows implemented in Jupyter notebooks supporting both single-sentence and sentence-pair classification variants.
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Python
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Last pushed
Feb 16, 2021
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