Papers with Online reviews
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset (N18-2)
Copied to clipboard
| Challenge: | Argument mining is a subset of NLP that deals with extracting arguments from user-based content. |
| Approach: | They propose to use weakly supervised and semi-supervised methods to automatically annotate reviews and provide large annotated datasets. |
| Outcome: | The proposed methods can be used to learn better models for implicit/explicit opinion classification. |
Using Text-Based Causal Inference to Disentangle Factors Influencing Online Review Ratings (2025.naacl-long)
Copied to clipboard
| Challenge: | Existing methods to analyze online reviews for aspects of quality are limited . authors propose a method to disentangle the impact of each aspect on overall perception . |
| Approach: | They propose a method to disentangle the effect of each aspect on overall perception . they use textual mentions in reviews as proxies for real-world attributes . |
| Outcome: | The proposed method improves on real-world reviews of U.S. K-12 schools. |