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
- Editors:
- Ellen Riloff, David Chiang, Julia Hockenmaier, Jun’ichi Tsujii
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/D18-1289.pdf