Not All Reviews Are Equal: Towards Addressing Reviewer Biases for Opinion Summarization (P19-2)
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| Challenge: | Existing research focuses on mining for opinions from review texts and ignores reviewers. |
| Approach: | They propose to model reviewer biases from review texts and learn a bias-aware opinion representation. |
| Outcome: | The proposed method includes balanced opinions from reviewers with different biases and preferences. |
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