Abstract Natural Language Interfaces allow human-computer interaction through the
translation of human intention into devices' control commands, analyzing the user's speech …

Natural Language Understanding (NLU) is a vital component of dialogue systems, and its
ability to detect Out-of-Domain (OOD) inputs is critical in practical applications, since the …

This paper addresses the policy optimization of a dialogue management scheme based on
partially observable Markov decision processes (POMDP), which is designed for out-of …

Intent classification is a major task in spoken language understanding (SLU). Since most
models are built with pre-collected in-domain (IND) training utterances, their ability to detect …

To ensure satisfactory user experience, dialog systems must be able to determine whether
an input sentence is in-domain (ID) or out-of-domain (OOD). We assume that only ID …

In domain classification for spoken dialog systems, correct detection of out-of-domain (OOD)
utterances is crucial because it reduces confusion and unnecessary interaction costs …

Unknown intent detection aims to identify the out-of-distribution (OOD) utterance whose
intent has never appeared in the training set. In this paper, we propose using energy scores …

While digital assistants are increasingly used to help with various productivity tasks, less
attention has been paid to employing them in the domain of business documents. To build …

The paper applies modern industrial economic theories to give an overview of the emerging
phenomenon of digital personal assistants (DPAs). A DPA is an automated system that …