Overview of FACT at IberLEF 2019: Factuality Analysis and Classification Task
| dc.contributor.author | Rosá, Aiala | |
| dc.contributor.author | Castellón Masalles, Irene | |
| dc.contributor.author | Chiruzzo, Luis | |
| dc.contributor.author | Curell i Gotor, Hortènsia | |
| dc.contributor.author | Etcheverry, Mathias | |
| dc.contributor.author | Fernández Montraveta, Ana María | |
| dc.contributor.author | Vázquez García, Glòria | |
| dc.contributor.author | Wonsever, Dina | |
| dc.date.accessioned | 2026-10-02T17:03:07Z | |
| dc.date.available | 2026-10-02T17:03:07Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | In this paper we describe the FACT shared task (Factuality Annotation and Classi cation Task), included in the First Iberian Languages Evaluation Forum (IberLEF). Factuality is understood, following, as the category that determines the factual status of events, that is, whether events are presented or not as certain. 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 as a reference for English and for Spanish. For Italian, a task similar to FACT has been proposed in the past. 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. The main objective of this task is to advance in the study of the factuality of the events mentioned in texts, seeking to contrast different approaches. To accomplish this task a corpus annotated with factuality information is available allowing experimentation with supervised machine learning techniques. | |
| dc.format.extent | 6 p. | |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | https://hdl.handle.net/10459.1/471272 | |
| dc.language.iso | eng | |
| dc.publisher | CEUR-WS | |
| dc.relation.isformatof | Reproducció del document publicat a https://ceur-ws.org/Vol-2421/FACT_overview.pdf | |
| dc.relation.ispartof | Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020), p. 105-110 | |
| dc.rights | cc-by (c) The Authors, 2019 | |
| dc.rights | Attribution 4.0 International | * |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | Factuality Analysis | |
| dc.subject | Factuality Classification | |
| dc.subject | Events Identification | |
| dc.subject | Corpus Annotation | |
| dc.title | Overview of FACT at IberLEF 2019: Factuality Analysis and Classification Task | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type.version | info:eu-repo/semantics/publishedVersion |