Difference between revisions of "MSF2 The Portuguese/Spanish corpus of Multi-Sentence Fusion (Repository)"

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:: 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://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]
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:: 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

Latest revision as of 05:01, 4 May 2020


  • ADCR ID: ADCR2020T001
  • Name of Dataset: MSF2 Corpus
  • 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.