Papers with rule-based module
Fully Statistical Neural Belief Tracking (P18-2)
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| Challenge: | Existing framework for a dialogue state tracking model requires an expensive manual retuning step . |
| Approach: | They propose to improve existing NBT model by removing a manual retuning step . they propose two different statistical update mechanisms to improve model performance . |
| Outcome: | The proposed model achieves competitive performance and provides a robust framework for building resource-light DST models. |
ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases (2024.eacl-long)
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| Challenge: | Reasoning over Commonsense Knowledge Bases (CSKBs) is a way to acquire new commonsense knowledge based on reference knowledge in original CSKB and external prior knowledge. |
| Approach: | They propose a plugin to provide and check explicit relational constraints over prompting techniques. |
| Outcome: | The proposed method improves on existing prompting techniques and CSKB reasoning. |