Is this Sentence Difficult? Do you Agree?

Dominique Brunato, Lorenzo De Mattei, Felice Dell’Orletta, Benedetta Iavarone, Giulia Venturi


Abstract
In this paper, we present a crowdsourcing-based approach to model the human perception of sentence complexity. We collect a large corpus of sentences rated with judgments of complexity for two typologically-different languages, Italian and English. We test our approach in two experimental scenarios aimed to investigate the contribution of a wide set of lexical, morpho-syntactic and syntactic phenomena in predicting i) the degree of agreement among annotators independently from the assigned judgment and ii) the perception of sentence complexity.
Anthology ID:
D18-1289
Volume:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Month:
October-November
Year:
2018
Address:
Brussels, Belgium
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2690–2699
Language:
URL:
https://www.aclweb.org/anthology/D18-1289
DOI:
10.18653/v1/D18-1289
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PDF:
http://aclanthology.lst.uni-saarland.de/D18-1289.pdf