Abstract
In this paper, we introduce for the first time a Distributional Model for computing semantic complexity, inspired by the general principles of the Memory, Unification and Control framework(Hagoort, 2013; Hagoort, 2016). We argue that sentence comprehension is an incremental process driven by the goal of constructing a coherent representation of the event represented by the sentence. The composition cost of a sentence depends on the semantic coherence of the event being constructed and on the activation degree of the linguistic constructions. We also report the results of a first evaluation of the model on the Bicknell dataset (Bicknell et al., 2010).- Anthology ID:
- W16-4102
- Volume:
- Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Venue:
- CL4LC
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 12–22
- Language:
- URL:
- https://aclanthology.org/W16-4102
- DOI:
- Cite (ACL):
- Emmanuele Chersoni, Philippe Blache, and Alessandro Lenci. 2016. Towards a Distributional Model of Semantic Complexity. In Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC), pages 12–22, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Towards a Distributional Model of Semantic Complexity (Chersoni et al., CL4LC 2016)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/W16-4102.pdf