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