  This paper outlines the system using which team Nowruz participated in
SemEval 2022 Task 7 Identifying Plausible Clarifications of Implicit and
Underspecified Phrases for both subtasks A and B. Using a pre-trained
transformer as a backbone, the model targeted the task of multi-task
classification and ranking in the context of finding the best fillers for a
cloze task related to instructional texts on the website Wikihow.
  The system employed a combination of two ordinal regression components to
tackle this task in a multi-task learning scenario. According to the official
leaderboard of the shared task, this system was ranked 5th in the ranking and
7th in the classification subtasks out of 21 participating teams. With
additional experiments, the models have since been further optimised.
