Unlike the prior work, this paper proposes MUSE 2 -a novel modularization framework incorporating sense selection and representation learning models, which implements flexible modules to optimize distinct mechanisms.
mUSE enables linear time sense identity decoding with a sense selection module and purely senselevel representation learning with a sense representation module.