Difference between revisions of "MSF2 The Portuguese/Spanish corpus of Multi-Sentence Fusion (Repository)"
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(Created page with " * '''ADCR ID:''' ADCR2013T001 * '''Name of Dataset:''' TempEval-3 Platinum TimeML annotations * '''Contributor:''' Leon Derczynski ([http://derczynski.com/sheffield/]), Un...") |
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| − | * '''ADCR ID:''' | + | * '''ADCR ID:''' ADCR2020T001 |
| − | * '''Name of Dataset:''' | + | * '''Name of Dataset:''' MSF2 Corpus |
| − | * '''Contributor:''' | + | * '''Contributor:''' [http://juanmanueltorres.free.fr/ Juan-Manuel Torres-Moreno], Université d'Avignon, Mai 4, 2020. |
* '''Copyright:''' Annotations © 2020, MSF2 Université d'Avignon. Deposited in the [[ACL Data and Code Repository]] by Juan-Manuel Torres. | * '''Copyright:''' Annotations © 2020, MSF2 Université d'Avignon. Deposited in the [[ACL Data and Code Repository]] by Juan-Manuel Torres. | ||
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* '''Citation:''' If you use the MSF2 corpus in your research, please include the following citation in any resulting papers: | * '''Citation:''' If you use the MSF2 corpus in your research, please include the following citation in any resulting papers: | ||
| − | :: Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Stéphane Huet, Andréa Linhares. A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task. ''Proceedings of the 11th edition of the Language Resources and Evaluation Conference'', May 2018, Miyazaki, Japan. | + | :: Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Stéphane Huet, Andréa Linhares. [https://www.aclweb.org/anthology/L18-1504/ A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task]. ''Proceedings of the 11th edition of the Language Resources and Evaluation Conference'', May 2018, Miyazaki, Japan. |
| + | |||
| + | :: Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Stéphane Huet, Andréa Linhares. [https://hal.archives-ouvertes.fr/hal-01722130 hal-01722130 ArXiv] | ||
* '''Description:''' The MSF2 corpus consists of three directories : src : sentence clusters in raw and tokenized formats | * '''Description:''' The MSF2 corpus consists of three directories : src : sentence clusters in raw and tokenized formats | ||
ref : manual compressions to be used for ROUGE/BLEU automatic evaluation; pos : tokenized and Part-Of-Speech tagged sentences (using TreeTagger Pos-tagger). For more information, please see the documentation file that is included in the package. | ref : manual compressions to be used for ROUGE/BLEU automatic evaluation; pos : tokenized and Part-Of-Speech tagged sentences (using TreeTagger Pos-tagger). For more information, please see the documentation file that is included in the package. | ||
| − | * '''Download''': The | + | * '''Download''': The original source repository is at [https://dev.termwatch.es/~fresa/CORPUS/MSF2/corpus.html https://dev.termwatch.es/~fresa/CORPUS/MSF2/corpus.html]. |
[[Category:Data and code repository|Template for data]] | [[Category:Data and code repository|Template for data]] | ||
Latest revision as of 05:01, 4 May 2020
- ADCR ID: ADCR2020T001
- Name of Dataset: MSF2 Corpus
- Contributor: Juan-Manuel Torres-Moreno, Université d'Avignon, Mai 4, 2020.
- Copyright: Annotations © 2020, MSF2 Université d'Avignon. Deposited in the ACL Data and Code Repository by Juan-Manuel Torres.
- Licensing: This work is licensed under the Creative Commons Attribution 3.0 Unported License.
- Citation: If you use the MSF2 corpus in your research, please include the following citation in any resulting papers:
- Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Stéphane Huet, Andréa Linhares. A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task. Proceedings of the 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan.
- Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Stéphane Huet, Andréa Linhares. hal-01722130 ArXiv
- Description: The MSF2 corpus consists of three directories : src : sentence clusters in raw and tokenized formats
ref : manual compressions to be used for ROUGE/BLEU automatic evaluation; pos : tokenized and Part-Of-Speech tagged sentences (using TreeTagger Pos-tagger). For more information, please see the documentation file that is included in the package.
- Download: The original source repository is at https://dev.termwatch.es/~fresa/CORPUS/MSF2/corpus.html.