We propose a generation task for Italian -more specifically, a style transfer task for headlines of Italian newspapers. This is the first shared task on generation included in the EVALITA evaluation framework. Indeed, one of the reasons to have this task is to stimulate more research on generation within the Italian community. With this aim in mind, we release to the participating teams not only training data, but also a baseline sequence to sequence model that performs the task in order to help everyone get started, even when not accustomed to Natural Language Generation (NLG) approaches. Contextually, we explore the complex issue of automatic evaluation of generated text, which is receiving particular attention in the NLG community.
CHANGE-IT@EVALITA 2020:Change Headlines, Adapt News, GEnerate
Felice Dell'Orletta;
2020
Abstract
We propose a generation task for Italian -more specifically, a style transfer task for headlines of Italian newspapers. This is the first shared task on generation included in the EVALITA evaluation framework. Indeed, one of the reasons to have this task is to stimulate more research on generation within the Italian community. With this aim in mind, we release to the participating teams not only training data, but also a baseline sequence to sequence model that performs the task in order to help everyone get started, even when not accustomed to Natural Language Generation (NLG) approaches. Contextually, we explore the complex issue of automatic evaluation of generated text, which is receiving particular attention in the NLG community.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Lorenzo De Mattei | it |
| dc.authority.people | Michele Cafagna | it |
| dc.authority.people | Felice Dell'Orletta | it |
| dc.authority.people | Malvina Nissim | it |
| dc.authority.people | Albert Gatt | it |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/20 22:18:58 | - |
| dc.date.available | 2024/02/20 22:18:58 | - |
| dc.date.issued | 2020 | - |
| dc.description.abstracteng | We propose a generation task for Italian -more specifically, a style transfer task for headlines of Italian newspapers. This is the first shared task on generation included in the EVALITA evaluation framework. Indeed, one of the reasons to have this task is to stimulate more research on generation within the Italian community. With this aim in mind, we release to the participating teams not only training data, but also a baseline sequence to sequence model that performs the task in order to help everyone get started, even when not accustomed to Natural Language Generation (NLG) approaches. Contextually, we explore the complex issue of automatic evaluation of generated text, which is receiving particular attention in the NLG community. | - |
| dc.description.affiliations | Department of Computer Science, University of Pisa, Italy; University of Malta, Malta CLCG; Istituto di Linguistica Computazionale "Antonio Zampolli", CNR, Pisa, Italy; University of Groningen, The Netherlands LLT; University of Malta, Malta | - |
| dc.description.allpeople | De Mattei, Lorenzo; Cafagna, Michele; Dell'Orletta, Felice; Nissim, Malvina; Gatt, Albert | - |
| dc.description.allpeopleoriginal | Lorenzo De Mattei, Michele Cafagna, Felice Dell'Orletta, Malvina Nissim, Albert Gatt | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 5 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/400923 | - |
| dc.language.iso | eng | - |
| dc.relation.conferencedate | 17/12/2020 | - |
| dc.relation.conferencename | Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (EVALITA) | - |
| dc.relation.conferenceplace | online | - |
| dc.subject.keywords | Natural Language Generation | - |
| dc.subject.keywords | Style transfer | - |
| dc.subject.singlekeyword | Natural Language Generation | * |
| dc.subject.singlekeyword | Style transfer | * |
| dc.title | CHANGE-IT@EVALITA 2020:Change Headlines, Adapt News, GEnerate | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.miur | 273 | - |
| dc.type.referee | Sì, ma tipo non specificato | - |
| dc.ugov.descaux1 | 450740 | - |
| iris.orcid.lastModifiedDate | 2024/04/04 13:53:10 | * |
| iris.orcid.lastModifiedMillisecond | 1712231590666 | * |
| iris.sitodocente.maxattempts | 3 | - |
| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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