Adapting a FrameNet Semantic Parser for Spoken Language Understanding using Adversarial Learning
Table 6: Frame Element Identification results (Fmax) on the PODCAST-ASR corpus under different WER
['WER', '#frames', '[ITALIC] biGRU', '[ITALIC] biGRU+ [ITALIC] adv']
Finally, intuition says a higher WER translates into lower performance for our Frame parser. We observe that indeed higher WER yields lower performance for the semantic parsing task.