@inproceedings{bastianelli-etal-2014-huric,
title = "{H}u{RIC}: a Human Robot Interaction Corpus",
author = "Bastianelli, Emanuele and
Castellucci, Giuseppe and
Croce, Danilo and
Iocchi, Luca and
Basili, Roberto and
Nardi, Daniele",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/531_Paper.pdf",
pages = "4519--4526",
abstract = "Recent years show the development of large scale resources (e.g. FrameNet for the Frame Semantics) that supported the definition of several state-of-the-art approaches in Natural Language Processing. However, the reuse of existing resources in heterogeneous domains such as Human Robot Interaction is not straightforward. The generalization offered by many data driven methods is strongly biased by the employed data, whose performance in out-of-domain conditions exhibit large drops. In this paper, we present the Human Robot Interaction Corpus (HuRIC). It is made of audio files paired with their transcriptions referring to commands for a robot, e.g. in a home environment. The recorded sentences are annotated with different kinds of linguistic information, ranging from morphological and syntactic information to rich semantic information, according to the Frame Semantics, to characterize robot actions, and Spatial Semantics, to capture the robot environment. All texts are represented through the Abstract Meaning Representation, to adopt a simple but expressive representation of commands, that can be easily translated into the internal representation of the robot.",
}
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%0 Conference Proceedings
%T HuRIC: a Human Robot Interaction Corpus
%A Bastianelli, Emanuele
%A Castellucci, Giuseppe
%A Croce, Danilo
%A Iocchi, Luca
%A Basili, Roberto
%A Nardi, Daniele
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F bastianelli-etal-2014-huric
%X Recent years show the development of large scale resources (e.g. FrameNet for the Frame Semantics) that supported the definition of several state-of-the-art approaches in Natural Language Processing. However, the reuse of existing resources in heterogeneous domains such as Human Robot Interaction is not straightforward. The generalization offered by many data driven methods is strongly biased by the employed data, whose performance in out-of-domain conditions exhibit large drops. In this paper, we present the Human Robot Interaction Corpus (HuRIC). It is made of audio files paired with their transcriptions referring to commands for a robot, e.g. in a home environment. The recorded sentences are annotated with different kinds of linguistic information, ranging from morphological and syntactic information to rich semantic information, according to the Frame Semantics, to characterize robot actions, and Spatial Semantics, to capture the robot environment. All texts are represented through the Abstract Meaning Representation, to adopt a simple but expressive representation of commands, that can be easily translated into the internal representation of the robot.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/531_Paper.pdf
%P 4519-4526
Markdown (Informal)
[HuRIC: a Human Robot Interaction Corpus](http://www.lrec-conf.org/proceedings/lrec2014/pdf/531_Paper.pdf) (Bastianelli et al., LREC 2014)
ACL
- Emanuele Bastianelli, Giuseppe Castellucci, Danilo Croce, Luca Iocchi, Roberto Basili, and Daniele Nardi. 2014. HuRIC: a Human Robot Interaction Corpus. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4519–4526, Reykjavik, Iceland. European Language Resources Association (ELRA).