Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Axelsson, Agnes"'
Autor:
Axelsson, Agnes, Skantze, Gabriel
In any system that uses structured knowledge graph (KG) data as its underlying knowledge representation, KG-to-text generation is a useful tool for turning parts of the graph data into text that can be understood by humans. Recent work has shown that
Externí odkaz:
http://arxiv.org/abs/2307.07312
Autor:
Ahlberg, Sofie1 (AUTHOR) sofa@kth.se, Axelsson, Agnes1 (AUTHOR) agnaxe@kth.se, Yu, Pian1 (AUTHOR) piany@kth.se, Cortez, Wenceslao Shaw1 (AUTHOR) wencsc@kth.se, Gao, Yuan2,3 (AUTHOR) gaoyuankidult@gmail.com, Ghadirzadeh, Ali1 (AUTHOR) algh@kth.se, Castellano, Ginevra2 (AUTHOR) ginevra.castellano@it.uu.se, Kragic, Danica1 (AUTHOR) dani@kth.se, Skantze, Gabriel1 (AUTHOR) gabriel@speech.kth.se, Dimarogonas, Dimos V.1 (AUTHOR) dimos@kth.se
Publikováno v:
Unmanned Systems. Feb2022, Vol. 10 Issue 2, p187-203. 17p.
Autor:
Cumbal, Ronald, Axelsson, Agnes, Mehta, Shivam, Engwall, Olov, Ahmad, Muneeb Imtiaz, Mansouri, Masoumeh
Publikováno v:
Frontiers in Robotics & AI; 2023, p1-19, 19p
Autor:
Axelsson, Agnes, Skantze, Gabriel
Publikováno v:
ACM/IEEE International Conference on Human-Robot Interaction; Mar2023, p102-111, 10p
Intelligent agents interacting with humans through conversation (such as a robot, embodied conversational agent, or chatbot) need to receive feedback from the human to make sure that its communicative acts have the intended consequences. At the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::63c229d7bd15b739978265820ab1b61f
https://doi.org/10.3389/fcomp.2022.744574
https://doi.org/10.3389/fcomp.2022.744574