@inproceedings{9df33b3cd8c94d3e8092488e24c34e97,
title = "Are you being addressed?: real-time addressee detection to support remote participants in hybrid meetings",
abstract = "A meeting assistant agent for (remote) participants in hybrid meetings has been developed. Its task is to monitor the meeting conversation and notify the user when he is being addressed. This paper presents the experiments that have been performed to develop machine classifiers to decide if “You are being addressed��? where “You��? refers to a fixed (remote) participant in a meeting. The experimental results back up the choices made regarding the selection of data, features, and classification methods. We discuss variations of the addressee classification problem that have been considered in the literature and how suitable they are for addressing detection in a system that plays a role in a live meeting.",
keywords = "METIS-265759, Multi-modal conversation analysis, EC Grant Agreement nr.: FP6/0033812, CR-G.2.3, EWI-16393, IR-68257",
author = "{op den Akker}, Harm and {op den Akker}, {Hendrikus J.A.}",
year = "2009",
month = sep,
day = "11",
language = "Undefined",
isbn = "978-1-932432-64-0",
publisher = "Association for Computational Linguistics (ACL)",
pages = "21--28",
booktitle = "Proceedings of the SIGDIAL 2009 Conference",
address = "United States",
note = "null ; Conference date: 11-09-2009",
}