Slot Transferability for Cross-domain Slot Filling
Hengtong Lu, Zhuoxin Han, Caixia Yuan, Xiaojie Wang, Shuyu Lei, Huixing Jiang, Wu Wei · 2021
Cross-domain slot filling focuses on using labeled data from source domains to train a slot filling model for target domains.It is of great significance for transferring a dialogue system into new domains.Most of the existing work focused on building a cross-domain transfer model.From the perspective of slots themselves, this paper proposes a model-agnostic Slot Transferability Measure (STM) for evaluating the transferability from a source slot to a target slot, specifically, the degree that labeled data of the source slot is helpful to train the slot filling model for the target slot.We also give a STM-based method for a model to select helpful source slots and their labeled data for a given target slot.Experimental results on multiple existing models and datasets show that our method significantly outperforms state-ofthe-art baselines in cross-domain slot filling.The code is available at https://github. com/luhengtong/STM-for-cdsf.git.