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README.md
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BERT LSTM based baseline, based on https://github.com/avinashsai/BERT-Aspect *BERT LSTM* implementation.The model trained on SemEval2014-Task 4 laptop and restaurant datasets.
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Our Github repo: https://github.com/tezignlab/BERT-LSTM-based-
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Code for the paper "Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference" https://arxiv.org/pdf/2002.04815.pdf.
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```python
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from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline
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MODEL = "tezign/BERT-LSTM-based-
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tokenizer = AutoTokenizer.from_pretrained(MODEL)
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BERT LSTM based baseline, based on https://github.com/avinashsai/BERT-Aspect *BERT LSTM* implementation.The model trained on SemEval2014-Task 4 laptop and restaurant datasets.
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Our Github repo: https://github.com/tezignlab/BERT-LSTM-based-ABSA
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Code for the paper "Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference" https://arxiv.org/pdf/2002.04815.pdf.
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```python
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from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline
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MODEL = "tezign/BERT-LSTM-based-ABSA"
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tokenizer = AutoTokenizer.from_pretrained(MODEL)
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