Abstract
Our research aims at tracking the semantic evolution of the lexicon over time. For this purpose, we investigated two well-known training protocols for neural language models in a synchronic experiment and encountered several problems relating to accuracy and reliability. We were able to identify critical parameters for improving the underlying protocols in order to generate more adequate diachronic language models.
Cite
CITATION STYLE
Hellrich, J., & Hahn, U. (2016). An assessment of experimental protocols for tracing changes in word semantics relative to accuracy and reliability. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 111–117). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-2114
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
