Petición de contribucionesInfoling 3.62 (2019)

Título: Factuality Analysis and Classification Task (FACT - IberLEF2019)
Entidades organizadoras: Grupo PLN-InCo (UdelaR - Uruguay); Grupo de Procesamiento del Lenguaje Natural (FaMAF, UNC, Argentina); GRIAL - Grup de Recerca Interuniversitari d'Aplicacions Lingüístiques (UB-UAB-UDL, España)
Lugar de celebración: Bilbao, España
Fecha de inicio: 25 de septiembre de 2019
Fecha de finalización: 27 de septiembre de 2019
Circular Nº: 1
Contacto: Gloria Vázquez <gvazquezdal.udl.cat>
Descripción

The FACT shared task is part of IberLEF 2019 and is organized by Grupo PLN-InCo (UdelaR - Uruguay), Grupo de Procesamiento del Lenguaje Natural (FaMAF, UNC, Argentina), and GRIAL (UB-UAB-UDL, España).

Task description:
In order to analyze event references in texts, it is crucial to determine whether they are presented as having taken place or as potential or not accomplished events. This information can be used for different applications like Question Answering, Information Extraction, or Incremental Timeline Construction. Despite its centrality for Natural Language Understanding, this task has been underresearched, with the work by Saurí and Pustejovsky (2009) as a reference for English and Wonsever et al. (2009) for Spanish. The bottleneck to advance on this task has usually been the lack of annotated resources, together with its inherent difficulty. Currently PLN-InCo and GRIAL both have ongoing research projects on this topic, which are producing and will produce such annotated resources. This makes the proposal of this task even more interesting.

Factuality is understood, following Sauri (2008), as the category that determines the factual status of events, that is, whether events are presented or not as certain. The goal of this task is the determination of the status of verb events with respect to factuality in Spanish texts. In this task facts are not verified in regard to the real world, just assessed with respect to how they are presented by the source (in this case the writer), that is, the commitment of the source to the truth-value of the event. In this sense, the task could be conceived as a core procedure for other tasks such as fact-checking and fake-news, making it possible, in future tasks, to compare what is narrated in the text (fact tagging) to what is happening in the world (fact-checking and fake-news).

For this task, we established three possible categories:

Facts: current and past situations in the world that are presented as real.
Counterfacts: current and past situations that the writer presents as not having happened.
Undefined: possibilities, future situations, predictions, hypothesis and other options. Situations presented as uncertain since the writer does not commit openly to the truth-value either because they have not happened yet or because the author does not know.

The objective of this task is to automatically propose a factual tag for each event in the text.
How to participate:

If you want to participate in this task, please join the Google Group factiberlef2019. We will be sharing news and important information about the task in that group. You can find more information in the web page of the task.

Important Dates:
- March 18th, 2019: team registration page.
- March 25th, 2019: release of training data.
- May 20th, 2019: release of test data.
- June 3rd, 2019: results submission page.
- June 10th, 2019: publication of results.
- June 17th, 2019: working notes paper submission.
- June 24th, 2019: notification of acceptance.
- July 1st, 2019: camera ready paper submission.
- September 24th, 2019: IberLEF 2019 Workshop.


Área temática: Lingüística computacional, Lingüística de corpus

Comité científico

Manuel Carlos Díaz Galiano, University of Jaén (Spain)
Manuel García Vega, University of Jaén (Spain)
Yoan Gutiérrez Vázquez, University of Alicante (Spain)
Salud María Jiménez Zafra, University of Jaén (Spain)
Martin Krallinger, Spanish National Cancer Research. Barcelona Supercomputing Centre (Spain)
María Teresa Martín Valdivia, University of Jaén (Spain)
Juan Martínez Romo, UNED (Spain)
Manuel Montes y Gómez, National Institute of Astrophysics, Optics and Electronics (Mexico)
Francisco Rangel, Autoritas (Spain)
Aiala Rosá, PLN-InCo, University of the Republic (Uruguay)
Mariona Taulé, University of Barcelona (Spain).
Julio Villena Román, Meaning Cloud (Spain).

Comité organizador

Aiala Rosá (Grupo PLN-InCo (UdelaR - Uruguay))
Luis Chiruzzo (Grupo PLN-InCo (UdelaR - Uruguay))
Mathias Etcheverry (Grupo PLN-InCo (UdelaR - Uruguay))
Dina Wonsever (Grupo PLN-InCo (UdelaR - Uruguay))
Laura Alonso Alemany (Grupo de Procesamiento del Lenguaje Natural (FaMAF, UNC, Argentina))
Franco Luque (Grupo de Procesamiento del Lenguaje Natural (FaMAF, UNC, Argentina))
Cristian Cardellino (Grupo de Procesamiento del Lenguaje Natural (FaMAF, UNC, Argentina))
Milagro Teruel (Grupo de Procesamiento del Lenguaje Natural (FaMAF, UNC, Argentina))
Irene Castellón (GRIAL (UB-UAB-UDL, España))
Hortènsia Curell (GRIAL (UB-UAB-UDL, España))
Ana Fernández Montraveta (GRIAL (UB-UAB-UDL, España))
Gloria Vázquez (GRIAL (UB-UAB-UDL, España))

Plazo de envío de propuestas: hasta el 3 de junio de 2019

Lengua(s) oficial(es) del evento: español, inglés

Nº de información: 1

Remitente: Gloria Vázquez García
Institución: Universitat de Lleida
Correo-e: <gvazquezdal.udl.cat>

Fecha: 21 de marzo de 2019

Información publicada en Infoling: http://www.infoling.org/informacion/C1869.html



Con la ayuda de:
Editorial Arco Libros

© Infoling 1996-2019. Reservados todos los derechos.
ISSN: 1576-3404
Logo image by Hay Kranen / CC-BY