Implementation of Supervised Training Approaches forMonolingual Word Sense Alignment:ACDH-CH System Description for the MWSA Shared Task at GlobaLex 2020

This paper describes the ACDH-CH system for monolingual sense alignment across dictionaries. The task of monolingual word sense alignment is presented as a task of predicting the relationship between two senses. We present two solutions, one based on supervised machine learning, and the other based on pre-trained neural network language model, specifically BERT. Our models perform competitively for binary classification, reporting high scores for almost all languages.