Papers with aggregate salient predictions
Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain (2023.eacl-main)
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| Challenge: | a novel approach to learn domain-specific plausible materials for components in the vehicle repair domain is proposed . connecting a symptom to an underlying cause is a crucial building block for natural language understanding across domains. |
| Approach: | They propose a method to aggregate salient predictions from a set of cloze task style templates and use a Wikipedia corpus to augment the model. |
| Outcome: | The proposed approach outperforms a traditional pattern-based approach by exploiting the compositionality assumption in a cloze task style setting. |