Casa-nlu: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots
Table 1: Average IC accuracy scores (%) on non-contextual datasets. *: as reported in Goo et al. (2018)
['[BOLD] Model', 'ATIS', 'Snips']
As shown, we obtain a new SOTA for IC on both the datasets. We hypothesize that the high performance is due to the utterance-level position-aware multi-dimensional self-attention.