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://aclanthology.org/D18-1289
DOI:
10.18653/v1/D18-1289
Bibkey:
Cite (ACL):
Dominique Brunato, Lorenzo De Mattei, Felice Dell’Orletta, Benedetta Iavarone, and Giulia Venturi. 2018. Is this Sentence Difficult? Do you Agree?. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 2690–2699, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
Is this Sentence Difficult? Do you Agree? (Brunato et al., EMNLP 2018)
Copy Citation:
PDF:
https://aclanthology.org/D18-1289.pdf