A survey of research on spoken language understanding is presented. It covers aspects of
knowledge representation, automatic interpretation strategies, semantic grammars …

Self-supervised learning (SSL) is at the origin of unprecedented improvements in many
different domains including computer vision and natural language processing. Speech …

One of the first steps in building a spoken language understanding (SLU) module for
dialogue systems is the extraction of flat concepts out of a given word sequence, usually …

Disclosed embodiments include methods and systems for symbolic correction in human-
machine interfaces that comprise (a) implementing a language model;(b) implementing a …

Recent interest in intelligent assistants has increased demand for Automatic Speech
Recognition (ASR) systems that can utilize contextual information to adapt to the user's …

This paper presents an approach to simulate automatic speech recognition (ASR) errors
from manual transcriptions and describes how it can be used to improve the performance of …

The aim of the MEDIA-EVALDA project is to evaluate the understanding capabilities of
dialog systems. This paper presents the MEDIA protocol for speech understanding …

2. Description of Related Art Speech is promising as a means for accessing to informa tion
undergoing an explosive increase in quantity and quali tative complexity, and speech …

In Spoken Language Understanding (SLU) the task is to extract important information from
audio commands, like the intent of what a user wants the system to do and special entities …

In this paper, we present a probabilistic framework for goal-driven spoken dialog systems. A
new dynamic stochastic state (DS-state) is then defined to characterize the goal set of a …