A linguistically-motivated annotation model of modality in English and Spanish: Insights from MULTINOT

Julia Lavid, Marta Carretrero, Juan Rafael Zamorano-Mansilla


Abstract
In this paper we present current work on the design and validation of a linguistically-motivated annotation model of modality in English and Spanish in the context of the MULTINOT project. Our annotation model captures four basic modal meanings and their subtypes, on the one hand, and provides a fine-grained characterisation of the syntactic realisations of those meanings in English and Spanish, on the other. We validate the modal tagset proposed through an agreement study performed on a bilingual sample of four hundred sentences extracted from original texts of the MULTINOT corpus, and discuss the difficult cases encountered in the annotation experiment. We also describe current steps in the implementation of the proposed scheme for the large-scale annotation of the bilingual corpus using both automatic and manual procedures.
Anthology ID:
2016.lilt-14.4
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Linguistic Issues in Language Technology, Volume 14, 2016 - Modality: Logic, Semantics, Annotation, and Machine Learning
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Sept
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2016
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LILT
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CSLI Publications
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https://aclanthology.org/2016.lilt-14.4
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Cite (ACL):
Julia Lavid, Marta Carretrero, and Juan Rafael Zamorano-Mansilla. 2016. A linguistically-motivated annotation model of modality in English and Spanish: Insights from MULTINOT. In Linguistic Issues in Language Technology, Volume 14, 2016 - Modality: Logic, Semantics, Annotation, and Machine Learning. CSLI Publications.
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A linguistically-motivated annotation model of modality in English and Spanish: Insights from MULTINOT (Lavid et al., LILT 2016)
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https://aclanthology.org/2016.lilt-14.4.pdf