To address this issue, in this work, we propose a minimally supervised approach that utilizes supersense embeddings.
we manually prepare a small number of seed instance words for the predefined supersense (or TSS) (e.g., "survey" for RESEARCH-PROCESS) and train the embedding of word and supersense in the same vector space, like the method Flekova and Gurevych (Flekova and Gurevych, 2016) proposed, which will be detailed in Section 3.