Textual Inference Models
Review-guided Answer Helpfulness Prediction
Introduced by Zhang et al. in Review-guided Helpful Answer Identification in E-commerceReview-guided Answer Helpfulness Prediction (RAHP) is a textual inference model for identifying helpful answers in e-commerce. It not only considers the interactions between QA pairs, but also investigates the opinion coherence between the answer and crowds' opinions reflected in the reviews, which is another important factor to identify helpful answers.
Source: Review-guided Helpful Answer Identification in E-commerce
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Answer Selection | 1 | 33.33% |
| Community Question Answering | 1 | 33.33% |
| Question Answering | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
