Abstract
Negation is a universal linguistic phenomenon with a great qualitative impact on natural language processing applications. The availability of corpora annotated with negation is essential to training negation processing systems. Currently, most corpora have been annotated for English, but the presence of languages other than English on the Internet, such as Chinese or Spanish, is greater every day. In this study, we present a review of the corpora annotated with negation information in several languages with the goal of evaluating what aspects of negation have been annotated and how compatible the corpora are. We conclude that it is very difficult to merge the existing corpora because we found differences in the annotation schemes used, and most importantly, in the annotation guidelines: the way in which each corpus was tokenized and the negation elements that have been annotated. Differently than for other well established tasks like semantic role labeling or parsing, for negation there is no standard annotation scheme nor guidelines, which hampers progress in its treatment.
Original language | English |
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Pages (from-to) | 189-244 |
Number of pages | 56 |
Journal | Computational Linguistics |
Volume | 46 |
Issue number | 1 |
DOIs | |
Publication status | Published - Mar 2020 |
Funding
This work has been partially supported by a grant from the Ministerio de Educaci?n Cultura y Deporte (MECD-scholarship FPU014/00983), LIVING-LANG project (RTI2018-094653-B-C21), Fondo Europeo de Desarrollo Regional (FEDER), and REDES project (TIN2015-65136-C2-1-R) from the Spanish Government. R.M. was supported by the Netherlands Organization for Scientific Research (NWO) via the Spinoza-prize awarded to Piek Vossen (SPI 30-673, 2014-2019). We are thankful to the authors of the corpora who kindly answered our questions.
Funders | Funder number |
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Spanish Government | |
Ministerio de Educación, Cultura y Deporte | FPU014/00983, RTI2018-094653-B-C21 |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek | SPI 30-673, 2014-2019 |
European Regional Development Fund | TIN2015-65136-C2-1-R |
Ministerio de Educación y Cultura |