A survey on dialogue management in human-robot interaction
As social robots see increasing deployment within the general public, improving the
interaction with those robots is essential. Spoken language offers an intuitive interface for …
interaction with those robots is essential. Spoken language offers an intuitive interface for …
Conversational AI over military scenarios using intent detection and response generation
HM Chuang, DW Cheng - Applied Sciences, 2022 - mdpi.com
With the rise of artificial intelligence, conversational agents (CA) have found use in various
applications in the commerce and service industries. In recent years, many conversational …
applications in the commerce and service industries. In recent years, many conversational …
Socially interactive agent dialogue
D Traum - The Handbook on Socially Interactive Agents: 20 years …, 2022 - dl.acm.org
The Handbook on Socially Interactive Agents: 20 years of Research on Embodied
Conversational Agents, Intelligent Virtual Agents, Page 1 15 forum! Today’s topic is Socially …
Conversational Agents, Intelligent Virtual Agents, Page 1 15 forum! Today’s topic is Socially …
Comparing approaches to language understanding for human-robot dialogue: An error taxonomy and analysis
In this paper, we compare two different approaches to language understanding for a human-
robot interaction domain in which a human commander gives navigation instructions to a …
robot interaction domain in which a human commander gives navigation instructions to a …
[PDF][PDF] Context is key: Annotating situated dialogue relations in multi-floor dialogue
In order to account for the features of situated dialogue, we extend a multi-party, multifloor
dialogue annotation schema so that it uniquely marks turns with language that must be …
dialogue annotation schema so that it uniquely marks turns with language that must be …
[PDF][PDF] Dialogue structure parsing on multi-floor dialogue based on multi-task learning
A multi-floor dialogue consists of multiple sets of dialogue participants, each conversing
within their own floor, but also at least one multicommunicating member who is a participant …
within their own floor, but also at least one multicommunicating member who is a participant …
End-to-end dialogue structure parsing on multi-floor dialogue based on multi-task learning
A multi-floor dialogue consists of multiple sets of dialogue participants, each conversing
within their own floor. In the multi-floor dialogue, at least one multi-communicating member …
within their own floor. In the multi-floor dialogue, at least one multi-communicating member …
[PDF][PDF] MUMOSA, Interactive Dashboard for MUlti-MOdal Situation Awareness
S Lukin, S Bowser, R Suchocki… - Proceedings of the …, 2024 - aclanthology.org
Abstract Information extraction has led the way for event detection from text for many years.
Recent advances in neural models, such as Large Language Models (LLMs) and Vision …
Recent advances in neural models, such as Large Language Models (LLMs) and Vision …
[PDF][PDF] Bot Language (Summary Technical Report, Oct 2016–Sep 2021)
This report provides a comprehensive summary of the contributions made as part of the Bot
Language project, a 5-year US Army Combat Capabilities Development Command Army …
Language project, a 5-year US Army Combat Capabilities Development Command Army …
Statistical Language and Neural Network Models: Classifying Human Instructions in Situated Robot Command
EA Ogbadu - 2024 - search.proquest.com
To support natural language understanding in research, we aim to build upon previous
research that was done by Traum et al, Gervits et al., and Marge et al. where previous …
research that was done by Traum et al, Gervits et al., and Marge et al. where previous …