Data-Driven News Generation for Automated Journalism

Leo Leppänen; Myriam Munezero; Mark Granroth-Wilding; Hannu Toivonen

doi:10.18653/v1/w17-3528

Data-Driven News Generation for Automated Journalism

Leo Leppänen, Myriam Munezero, Mark Granroth-Wilding, Hannu Toivonen

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

Despite increasing amounts of data and ever improving natural language generation techniques, work on automated journalism is still relatively scarce. In this paper, we explore the field and challenges associated with building a journalistic natural language generation system. We present a set of requirements that should guide system design, including transparency, accuracy, modifiability and transferability. Guided by the requirements, we present a data-driven architecture for automated journalism that is largely domain and language independent. We illustrate its practical application in the production of news articles upon a user request about the 2017 Finnish municipal elections in three languages, demonstrating the successfulness of the data-driven, modular approach of the design. We then draw some lessons for future automated journalism.

Alkuperäiskieli	englanti
Otsikko	The 10th International Natural Language Generation conference, Proceedings of the Conference
Sivumäärä	10
Julkaisupaikka	Stroudsburg
Kustantaja	The Association for Computational Linguistics
Julkaisupäivä	4 syysk. 2017
Sivut	188-197
ISBN (painettu)	978-1-945626-52-4
DOI - pysyväislinkit	https://doi.org/10.18653/v1/w17-3528
Tila	Julkaistu - 4 syysk. 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	International Conference on Natural Language Generation - Tilburg, Alankomaat Kesto: 5 marrask. 2018 → 8 marrask. 2018 Konferenssinumero: 11 https://inlg2018.uvt.nl/

Tieteenalat

113 Tietojenkäsittely- ja informaatiotieteet

Pääsy asiakirjaan

10.18653/v1/w17-3528

http://www.aclweb.org/anthology/W17-3528

1 Päättynyt

IA: Immersive Automation: automated storytelling, audience engagement and user experience in a news ecosystem
Linden, C.-G. (Projektinjohtaja), Moring, T. A. (Osallistuja), Backholm, K. (Osallistuja), Hujanen, J. (Osallistuja), Toivonen, H. T. (Principal Investigator), Granroth-Wilding, M. (Osallistuja), Leppänen, L. (Osallistuja), Munezero, M. (Osallistuja), Haapanen, L. (Osallistuja) & Sirén-Heikel, S. (Osallistuja)
Viestintäalan tutkimussäätiö, Sanoma Media Finland Oy, Alma Media Oyj, Conmio Oy, Tekes, Svenska kulturfonden, KSF Media Ab, Keski Pohjanmaan Kirjapaino Oyj
01/12/2016 → 31/05/2018
Projekti: Tutkimusprojekti

1 Konferensseihin, kursseille ja seminaareihin osallistuminen ja näiden järjestäminen

International Conference on Natural Language Generation
Leppänen, L. (Puhuja: esitelmän pitäjä)
4 syysk. 2017 → 7 syysk. 2017
Aktiviteetti: Tapahtumaan osallistumisen ja tapahtuman järjestämisen tyypit › Konferensseihin, kursseille ja seminaareihin osallistuminen ja näiden järjestäminen

Siteeraa tätä

@inproceedings{d763834694f4424f863eed967250b4aa,

title = "Data-Driven News Generation for Automated Journalism",

abstract = "Despite increasing amounts of data and ever improving natural language generation techniques, work on automated journalism is still relatively scarce. In this paper, we explore the field and challenges associated with building a journalistic natural language generation system. We present a set of requirements that should guide system design, including transparency, accuracy, modifiability and transferability. Guided by the requirements, we present a data-driven architecture for automated journalism that is largely domain and language independent. We illustrate its practical application in the production of news articles upon a user request about the 2017 Finnish municipal elections in three languages, demonstrating the successfulness of the data-driven, modular approach of the design. We then draw some lessons for future automated journalism.",

keywords = "113 Computer and information sciences, natural language generation, natural language processing, news automation, computational creativity",

author = "Leo Lepp{\"a}nen and Myriam Munezero and Mark Granroth-Wilding and Hannu Toivonen",

year = "2017",

month = sep,

day = "4",

doi = "10.18653/v1/w17-3528",

language = "English",

isbn = "978-1-945626-52-4",

pages = "188--197",

booktitle = "The 10th International Natural Language Generation conference, Proceedings of the Conference",

publisher = "The Association for Computational Linguistics",

address = "United States",

note = "International Conference on Natural Language Generation, INLG ; Conference date: 05-11-2018 Through 08-11-2018",

url = "https://inlg2018.uvt.nl/",

}

Leppänen, L, Munezero, M, Granroth-Wilding, M & Toivonen, H 2017, Data-Driven News Generation for Automated Journalism. julkaisussa The 10th International Natural Language Generation conference, Proceedings of the Conference. The Association for Computational Linguistics, Stroudsburg, Sivut 188-197, International Conference on Natural Language Generation, Alankomaat, 05/11/2018. https://doi.org/10.18653/v1/w17-3528

Data-Driven News Generation for Automated Journalism. / Leppänen, Leo; Munezero, Myriam; Granroth-Wilding, Mark et al.
The 10th International Natural Language Generation conference, Proceedings of the Conference. Stroudsburg: The Association for Computational Linguistics, 2017. s. 188-197.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Data-Driven News Generation for Automated Journalism

AU - Leppänen, Leo

AU - Munezero, Myriam

AU - Granroth-Wilding, Mark

AU - Toivonen, Hannu

N1 - Conference code: 11

PY - 2017/9/4

Y1 - 2017/9/4

N2 - Despite increasing amounts of data and ever improving natural language generation techniques, work on automated journalism is still relatively scarce. In this paper, we explore the field and challenges associated with building a journalistic natural language generation system. We present a set of requirements that should guide system design, including transparency, accuracy, modifiability and transferability. Guided by the requirements, we present a data-driven architecture for automated journalism that is largely domain and language independent. We illustrate its practical application in the production of news articles upon a user request about the 2017 Finnish municipal elections in three languages, demonstrating the successfulness of the data-driven, modular approach of the design. We then draw some lessons for future automated journalism.

AB - Despite increasing amounts of data and ever improving natural language generation techniques, work on automated journalism is still relatively scarce. In this paper, we explore the field and challenges associated with building a journalistic natural language generation system. We present a set of requirements that should guide system design, including transparency, accuracy, modifiability and transferability. Guided by the requirements, we present a data-driven architecture for automated journalism that is largely domain and language independent. We illustrate its practical application in the production of news articles upon a user request about the 2017 Finnish municipal elections in three languages, demonstrating the successfulness of the data-driven, modular approach of the design. We then draw some lessons for future automated journalism.

KW - 113 Computer and information sciences

KW - natural language generation

KW - natural language processing

KW - news automation

KW - computational creativity

U2 - 10.18653/v1/w17-3528

DO - 10.18653/v1/w17-3528

M3 - Conference contribution

SN - 978-1-945626-52-4

SP - 188

EP - 197

BT - The 10th International Natural Language Generation conference, Proceedings of the Conference

PB - The Association for Computational Linguistics

CY - Stroudsburg

T2 - International Conference on Natural Language Generation

Y2 - 5 November 2018 through 8 November 2018

ER -

Data-Driven News Generation for Automated Journalism

Abstrakti

Tieteenalat

Pääsy asiakirjaan

Projektit

IA: Immersive Automation: automated storytelling, audience engagement and user experience in a news ecosystem

Aktiviteetit

International Conference on Natural Language Generation

Siteeraa tätä