Papers by Amir Fayazi
Robust Zero-Shot Cross-Domain Slot Filling with Example Values (P19-1)
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| Challenge: | Task-oriented dialog systems rely on deep learning-based slot filling models . little to no training data for target domains may be available or schemas may not be aligned . |
| Approach: | They propose to use slot descriptions and examples of slot values to learn slot semantic representations that are transferable across domains and robust to misaligned schemas. |
| Outcome: | The proposed model outperforms state-of-the-art models on two multi-domain datasets on low-data setting. |
Efficient Entity Embedding Construction from Type Knowledge for BERT (2022.findings-aacl)
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| Challenge: | Existing work has shown advantages of incorporating knowledge graphs (KGs) into BERT for various NLP tasks. |
| Approach: | They propose to integrate knowledge graphs into BERT to train entity embeddings to include rich information of factual knowledge. |
| Outcome: | The proposed models perform very well when combined with context. |