Annotation contributions: sharing derived research data

Stephen Cassidy, Dominique Estival

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Abstract

Many research projects make use of language resources and in the process of the research, generate derived resources such as annotations or derived features. These resources are not often shared and there is no mechanism for associating them with the original resource in a way that would help future users discover them. This paper describes a new feature of the Alveo Virtual Laboratory that allows researchers to upload these derived resources and have them associated and integrated with the original resource. This facility is designed to encourage the sharing of these derived resources by making the process of sharing easy and by providing an incentive in the form of a citeable URL that can be properly attributed to the authors in subsequent publications.
LanguageEnglish
Title of host publicationLREC 2018 Workshop
Subtitle of host publication4REAL2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language, Proceedings
EditorsAntónio Branco, Nicoletta Calzolari, Khalid Choukri
Place of PublicationParis
PublisherEuropean Language Resources Association (ELRA)
Pages17-21
Number of pages5
ISBN (Electronic)9791095546214
Publication statusPublished - 12 May 2018
EventWorkshop on Replicability and Reproducibility of Research Results
in Science and Technology of Language
- Miyazaki, Japan
Duration: 12 May 201812 May 2018
Conference number: 2
http://4real2018.di.fc.ul.pt/

Workshop

WorkshopWorkshop on Replicability and Reproducibility of Research Results
in Science and Technology of Language
Abbreviated title4REAL 2018
CountryJapan
CityMiyazaki
Period12/05/1812/05/18
Internet address

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Cite this

Cassidy, S., & Estival, D. (2018). Annotation contributions: sharing derived research data. In A. Branco, N. Calzolari, & K. Choukri (Eds.), LREC 2018 Workshop: 4REAL2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language, Proceedings (pp. 17-21). Paris: European Language Resources Association (ELRA).
Cassidy, Stephen ; Estival, Dominique. / Annotation contributions : sharing derived research data. LREC 2018 Workshop: 4REAL2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language, Proceedings. editor / António Branco ; Nicoletta Calzolari ; Khalid Choukri. Paris : European Language Resources Association (ELRA), 2018. pp. 17-21
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title = "Annotation contributions: sharing derived research data",
abstract = "Many research projects make use of language resources and in the process of the research, generate derived resources such as annotations or derived features. These resources are not often shared and there is no mechanism for associating them with the original resource in a way that would help future users discover them. This paper describes a new feature of the Alveo Virtual Laboratory that allows researchers to upload these derived resources and have them associated and integrated with the original resource. This facility is designed to encourage the sharing of these derived resources by making the process of sharing easy and by providing an incentive in the form of a citeable URL that can be properly attributed to the authors in subsequent publications.",
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year = "2018",
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language = "English",
pages = "17--21",
editor = "Ant{\'o}nio Branco and Nicoletta Calzolari and Khalid Choukri",
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Cassidy, S & Estival, D 2018, Annotation contributions: sharing derived research data. in A Branco, N Calzolari & K Choukri (eds), LREC 2018 Workshop: 4REAL2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language, Proceedings. European Language Resources Association (ELRA), Paris, pp. 17-21, Workshop on Replicability and Reproducibility of Research Results
in Science and Technology of Language, Miyazaki, Japan, 12/05/18.

Annotation contributions : sharing derived research data. / Cassidy, Stephen; Estival, Dominique.

LREC 2018 Workshop: 4REAL2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language, Proceedings. ed. / António Branco; Nicoletta Calzolari; Khalid Choukri. Paris : European Language Resources Association (ELRA), 2018. p. 17-21.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

TY - GEN

T1 - Annotation contributions

T2 - sharing derived research data

AU - Cassidy, Stephen

AU - Estival, Dominique

PY - 2018/5/12

Y1 - 2018/5/12

N2 - Many research projects make use of language resources and in the process of the research, generate derived resources such as annotations or derived features. These resources are not often shared and there is no mechanism for associating them with the original resource in a way that would help future users discover them. This paper describes a new feature of the Alveo Virtual Laboratory that allows researchers to upload these derived resources and have them associated and integrated with the original resource. This facility is designed to encourage the sharing of these derived resources by making the process of sharing easy and by providing an incentive in the form of a citeable URL that can be properly attributed to the authors in subsequent publications.

AB - Many research projects make use of language resources and in the process of the research, generate derived resources such as annotations or derived features. These resources are not often shared and there is no mechanism for associating them with the original resource in a way that would help future users discover them. This paper describes a new feature of the Alveo Virtual Laboratory that allows researchers to upload these derived resources and have them associated and integrated with the original resource. This facility is designed to encourage the sharing of these derived resources by making the process of sharing easy and by providing an incentive in the form of a citeable URL that can be properly attributed to the authors in subsequent publications.

M3 - Conference proceeding contribution

SP - 17

EP - 21

BT - LREC 2018 Workshop

A2 - Branco, António

A2 - Calzolari, Nicoletta

A2 - Choukri, Khalid

PB - European Language Resources Association (ELRA)

CY - Paris

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Cassidy S, Estival D. Annotation contributions: sharing derived research data. In Branco A, Calzolari N, Choukri K, editors, LREC 2018 Workshop: 4REAL2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language, Proceedings. Paris: European Language Resources Association (ELRA). 2018. p. 17-21