Papers with MTOP dataset
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models (2023.emnlp-main)
Copied to clipboard
| Challenge: | Existing LLMs cannot generalize to domain-specific parsing tasks in a zero-shot setting. |
| Approach: | They propose a task-oriented parsing method that decomposes parse problem into abstractive and extractive question-answering problems. |
| Outcome: | The proposed method decomposes a parsing problem into abstractive and extractive question-answering (QA) problems. |
Controllable Semantic Parsing via Retrieval Augmentation (2021.emnlp-main)
Copied to clipboard
| Challenge: | a mechanism for enacting behavior changes without expensive model re-training would be preferable. |
| Approach: | They propose a controllable semantic parser that retrieves related exemplars from a retrieval index and augments them to the query. |
| Outcome: | The proposed model can parse queries in a new domain, adapt predictions toward specified patterns, or adapt to new semantic schemas without re-training the model. |