The Content Types Dataset: a New Resource to Explore Semantic and Functional Characteristics of Texts

Rachele Sprugnoli, Tommaso Caselli, Sara Tonelli, Giovanni Moretti


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.
Anthology ID:
E17-2042
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Editors:
Mirella Lapata, Phil Blunsom, Alexander Koller
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
260–266
Language:
URL:
https://aclanthology.org/E17-2042
DOI:
Bibkey:
Cite (ACL):
Rachele Sprugnoli, Tommaso Caselli, Sara Tonelli, and Giovanni Moretti. 2017. The Content Types Dataset: a New Resource to Explore Semantic and Functional Characteristics of Texts. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 260–266, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
The Content Types Dataset: a New Resource to Explore Semantic and Functional Characteristics of Texts (Sprugnoli et al., EACL 2017)
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PDF:
https://aclanthology.org/E17-2042.pdf