Paper Info
Title
Towards a Distributional Model of Semantic Complexity.
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).
Year
Venue
Field
2016
CL4LC@COLING 2016
Computer science,Unification,Coherence (physics),Natural language processing,Artificial intelligence,Sentence,Comprehension
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Emmanuele Chersoni102.37
Philippe Blache212038.21
Alessandro Lenci363361.92