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. We propose a model for the extraction of affordances of food from corpora and their role in sequences of procedural (sub)actions. The food processor of the future can find helpful this knowledge to interact with users suggesting alternatives in food processing in recipes steps and basic reasoning about preconditions and consequences in making meals.
From language to action: Extraction and disambiguation of affordances in ModelAct
Russo I;
2015
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. We propose a model for the extraction of affordances of food from corpora and their role in sequences of procedural (sub)actions. The food processor of the future can find helpful this knowledge to interact with users suggesting alternatives in food processing in recipes steps and basic reasoning about preconditions and consequences in making meals.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.people | Russo I | it |
| dc.authority.people | Robaldo L | it |
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| dc.collection.name | 02.01 Contributo in volume (Capitolo o Saggio) | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
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| dc.date.accessioned | 2024/02/19 23:47:34 | - |
| dc.date.available | 2024/02/19 23:47:34 | - |
| dc.date.issued | 2015 | - |
| dc.description.abstracteng | 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. We propose a model for the extraction of affordances of food from corpora and their role in sequences of procedural (sub)actions. The food processor of the future can find helpful this knowledge to interact with users suggesting alternatives in food processing in recipes steps and basic reasoning about preconditions and consequences in making meals. | - |
| dc.description.affiliations | ILC CNR Pisa, Pisa, Italy; Dipartimento di Informatica, Universita' di Torino, Torino, Italy | - |
| dc.description.allpeople | Russo I.; Robaldo L. | - |
| dc.description.allpeopleoriginal | Russo I.; Robaldo L. | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 1 | - |
| dc.identifier.doi | 10.1007/978-3-319-19656-5_15 | - |
| dc.identifier.isbn | 978-3-319-19655-8 | - |
| dc.identifier.isi | WOS:000365176500015 | - |
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| dc.identifier.uri | https://hdl.handle.net/20.500.14243/320885 | - |
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| dc.language.iso | eng | - |
| dc.relation.alleditors | Raffaele Giaffreda, Radu-Laurentiu Vieriu Edna Pasher, Gabriel Bendersky, Antonio J. Jara, Joel J.P.C. Rodrigues Eliezer Dekel, Benny Mandler | - |
| dc.relation.firstpage | 93 | - |
| dc.relation.ispartofbook | Internet of Things. User-Centric IoT | - |
| dc.relation.lastpage | 96 | - |
| dc.relation.numberofpages | 4 | - |
| dc.subject.keywords | Affordances | - |
| dc.subject.keywords | Natural language processing | - |
| dc.subject.keywords | Verbs' disambiguation | - |
| dc.subject.singlekeyword | Affordances | * |
| dc.subject.singlekeyword | Natural language processing | * |
| dc.subject.singlekeyword | Verbs' disambiguation | * |
| dc.title | From language to action: Extraction and disambiguation of affordances in ModelAct | en |
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| isi.contributor.affiliation | University of Turin | - |
| isi.contributor.country | Italy | - |
| isi.contributor.country | Italy | - |
| isi.contributor.name | Irene | - |
| isi.contributor.name | Livio | - |
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| isi.description.abstracteng | 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.We propose a model for the extraction of affordances of food from corpora and their role in sequences of procedural (sub) actions. The food processor of the future can find helpful this knowledge to interact with users suggesting alternatives in food processing in recipes steps and basic reasoning about preconditions and consequences in making meals. | * |
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| scopus.description.abstracteng | 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. We propose a model for the extraction of affordances of food from corpora and their role in sequences of procedural (sub)actions. The food processor of the future can find helpful this knowledge to interact with users suggesting alternatives in food processing in recipes steps and basic reasoning about preconditions and consequences in making meals. | * |
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| scopus.relation.conferencedate | 2014 | * |
| scopus.relation.conferencename | 1st International Summit on Internet of Things, IoT360 2014 | * |
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| scopus.subject.keywords | Affordances; Natural language processing; Verbs’ disambiguation; | * |
| scopus.title | From language to action: Extraction and disambiguation of affordances in modelact | * |
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| Appare nelle tipologie: | 02.01 Contributo in volume (Capitolo o Saggio) | |
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