Query rewrite (QR) is an emerging component in conversational AI systems, reducing user
defect. User defect is caused by various reasons, such as errors in the spoken dialogue …

Conversational AI systems such as Alexa need to understand defective queries to ensure
robust conversational understanding and reduce user friction. These defective queries often …

In conversational AI agents, Query Rewriting (QR) plays a crucial role in reducing user
frictions and satisfying their daily demands. User frictions are caused by various reasons …

Query Rewriting (QR) plays a critical role in large-scale dialogue systems for reducing
frictions. When there is an entity error, it imposes extra challenges for a dialogue system to …

Communicating efficiently in natural language requires that we often leave information
implicit, especially in spontaneous speech. This frequently results in phenomena of …

Conversational understanding is an integral part of modern intelligent devices. In a large
fraction of the global traffic from customers using smart digital assistants, frictions in …

Recent advances in prompt tuning have proven effective as a new language modeling
paradigm for various natural language understanding tasks. However, it is challenging to …

Abstract The convergence of Artificial Intelligence (AI) and FinTech services has brought
about a transformative impact on customer engagement in institutions. AI-powered chatbots …

Self-learning paradigms in large-scale conversational AI agents tend to leverage user
feedback in bridging between what they say and what they mean. However, such learning …

Voice assistants such as Alexa, Siri, and Google Assistant have become increasingly
popular worldwide. However, linguistic variations, variability of speech patterns, ambient …