From Language to Action: Extraction and Disambiguation of Affordances in ModelAct

Irene Russo; Livio Robaldo

Internet of Things. User-Centric IoT. First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part I

Research Article

From Language to Action: Extraction and Disambiguation of Affordances in ModelAct

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@INPROCEEDINGS{10.1007/978-3-319-19656-5_15,
    author={Irene Russo and Livio Robaldo},
    title={From Language to Action: Extraction and Disambiguation of Affordances in ModelAct},
    proceedings={Internet of Things. User-Centric IoT. First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part I},
    proceedings_a={IOT360},
    year={2015},
    month={7},
    keywords={Affordances Natural language processing Verbs’ disambiguation},
    doi={10.1007/978-3-319-19656-5_15}
}

Irene Russo
Livio Robaldo
Year: 2015
From Language to Action: Extraction and Disambiguation of Affordances in ModelAct
IOT360
Springer
DOI: 10.1007/978-3-319-19656-5_15

Irene Russo¹^,*, Livio Robaldo²^,*

1: ILC CNR Pisa
2: Universita’ di Torino

*Contact email: irene.russo@ilc.cnr.it, robaldo@di.unito.it

Abstract

In this paper we focus on how information about concrete actions performed on food should be provided to IoT devices in terms of affordances extracted from corpora. Natural language processing has a role in defining which kind of knowledge devices interacting with machines and appliances should handle when humans send requests through natural language interfaces.

Keywords: Affordances Natural language processing Verbs’ disambiguation

Published: 2015-07-22
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-19656-5_15

From Language to Action: Extraction and Disambiguation of Affordances in ModelAct

Abstract

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