Proceedings of the 2nd Workshop on Natural Language Processing for Conversational AI
Abstract:One of the core components of voice assistants is the Natural Language Understanding (NLU) model. Its ability to accurately classify the user's request (or "intent") and recognize named entities in an utterance is pivotal to the success of these assistants. NLU models can be challenged in some languages by code-switching or morphological and orthographic variations. This work explores the possibility of improving the accuracy of NLU models for Indic languages via the use of alternate representations of input t… Show more
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