Not all arguments are processed equally: a distributional model of argument complexity

This work addresses some questions about language processing: what does it mean that natural language sentences are semantically complex? What semantic features can determine different degrees of difficulty for human comprehenders? Our goal is to introduce a framework for argument semantic complexit...

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Bibliographic Details
Main Authors: Chersoni, Emmanuele, Santus, Enrico, Lenci, Alessandro, Blache, Philippe, Huang, Chu-Ren
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Springer Netherlands 2021
Online Access:https://hdl.handle.net/1721.1/132963