Abstract
In this paper, we introduce a new type of shared task - which is collaborative rather than competitive - designed to support and foster the reproduction of research results. We also describe the first event running such a novel challenge, present the results obtained, discuss the lessons learned and ponder on future undertakings.
| Original language | English |
|---|---|
| Title of host publication | LREC 2020 |
| Subtitle of host publication | Proceedings of the 12th Conference on Language Resources and Evaluation |
| Editors | Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis |
| Publisher | European Language Resources Association (ELRA) |
| Pages | 5539-5545 |
| Number of pages | 7 |
| ISBN (Electronic) | 9791095546344 |
| Publication status | Published - May 2020 |
| Event | 12th Language Resources and Evaluation Conference (LERC 2020) Marseille - Marseille, France Duration: 11 May 2020 → 16 May 2020 Conference number: 12 |
Conference
| Conference | 12th Language Resources and Evaluation Conference (LERC 2020) Marseille |
|---|---|
| Abbreviated title | LERC 2020 |
| Country/Territory | France |
| City | Marseille |
| Period | 11/05/20 → 16/05/20 |
Funding
We are very grateful to the authors that offered their papers, or accepted our invitation to do so, to be the target of the reproduction tasks. They are listed in Section 3. The results reported here were partially supported by PORTULAN CLARIN-Research Infrastructure for the Science and Technology of Language, funded by Lisboa 2020, Alentejo 2020 and FCT-Fundação para a Ciência e Tecnologia under the grant PINFRA/22117/2016. The computing environment for the replications by the technical committee has been kindly provided by EGI and the EOSC-hub H2020 project (grant agreement 777536) with the dedicated support of the CESGA, CESNET-MCC and RECAS-BARI providers. We are very grateful to the authors that offeredtheir papers, or accepted our invitationto do so, to be the target of the reproduction tasks. They are listed in Section 3. The results reported here were partially supported by PORTULAN CLARIN—Research Infrastructure for the Science and Technologyof Language, funded by Lisboa 2020, Alentejo 2020 and FCT—Funda¸cão para a Ciência e Tec-nologia under the grant PINFRA/22117/2016. The computing environment for the replications by the technical committee has been kindly provided by EGI and the EOSC-hub H2020 project (grant agreement 777536) with the dedicated support of the CESGA, CESNET-MCC and RECAS-BARI providers.
| Funders | Funder number |
|---|---|
| CESNET-MCC | |
| EOSC-hub H2020 | 777536 |
| Funda¸cão para a Ciência e Tec-nologia | |
| Science and Technology of Language | |
| EGI | |
| Fundação para a Ciência e a Tecnologia | PINFRA/22117/2016 |
Keywords
- Computational linguistics
- Language technology
- Natural language processing
- Replication
- Reproduction
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