TY - JOUR AU - Lee, Harrison AU - Gupta, Raghav AU - Rastogi, Abhinav AU - Cao, Yuan AU - Zhang, Bin AU - Wu, Yonghui PY - 2022/06/28 Y2 - 2024/03/28 TI - SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 36 IS - 10 SE - AAAI Technical Track on Speech and Natural Language Processing DO - 10.1609/aaai.v36i10.21341 UR - https://ojs.aaai.org/index.php/AAAI/article/view/21341 SP - 10938-10946 AB - Zero/few-shot transfer to unseen services is a critical challenge in task-oriented dialogue research. The Schema-Guided Dialogue (SGD) dataset introduced a paradigm for enabling models to support any service in zero-shot through schemas, which describe service APIs to models in natural language. We explore the robustness of dialogue systems to linguistic variations in schemas by designing SGD-X - a benchmark extending SGD with semantically similar yet stylistically diverse variants for every schema. We observe that two top state tracking models fail to generalize well across schema variants, measured by joint goal accuracy and a novel metric for measuring schema sensitivity. Additionally, we present a simple model-agnostic data augmentation method to improve schema robustness. ER -