Papers with ReviewRC

1 papers
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis (N19-1)

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Challenge: Existing work on question-answering has limited training examples for RRC . question-announced questions are a key component of online commerce .
Approach: They propose to turn customer reviews into a large source of knowledge that can be exploited to answer user questions.
Outcome: The proposed approach improves review reading comprehension on popular language model BERT . it also improves aspect extraction and aspect sentiment classification tasks .

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