  In this report, I address auto-formulation of problem description, the task
of converting an optimization problem into a canonical representation. I first
simplify the auto-formulation task by defining an intermediate representation,
then introduce entity tag embedding to utilize a given entity tag information.
The ablation study demonstrate the effectiveness of the proposed method, which
finally took second place in NeurIPS 2022 NL4Opt competition subtask 2.
