Adversarial training improves BERT for ABSA tasks.
problem Lack of labeled data for ABSA.
method Adversarial training applied to BERT-PT model.
result BAT model outperforms post-trained BERT.
A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Adversarial training improves BERT for ABSA tasks.
Due to the increased availability of online reviews, sentiment analysis had been witnessed a booming interest from the researchers. Sentiment analysis is a computational treatment of sentiment used to extract and understand the opinions of authors. While many systems were built to predict the sentiment of a document or…