Papers with semantic decoding
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. |
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding (2021.acl-long)
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Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai
| Challenge: | Experimental results show that Synchronous Semantic Decoding (SSD) can achieve state-of-the-art unsupervised semantic parsing performance on multiple datasets. |
| Approach: | They propose an unsupervised method which solves the semantic gap and the structure gap by leveraging paraphrasing and grammar-constrained decoding. |
| Outcome: | The proposed method can solve the semantic gap and structure gap on multiple datasets. |