Abstract
This paper presents a new resource, called Content Types Dataset, to promote the analysis of texts as a composition of units with specific semantic and functional roles. By developing this dataset, we also introduce a new NLP task for the automatic classification of Content Types. The annotation scheme and the dataset are described together with two sets of classification experiments.
Cite
CITATION STYLE
Sprugnoli, R., Caselli, T., Tonelli, S., & Moretti, G. (2017). The content types dataset: A new resource to explore semantic and functional characteristics of texts. In 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference (Vol. 2, pp. 260–266). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/e17-2042
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