Task: Question Understanding
Input (English): In ConMask, we use a similar idea to select the most related words given some relationship and mask irrelevant words by assigning a relationship-dependent similarity score to words in the given entity description. ConMask selects words that are related to the given relationship to mitigate the inclusion of irrelevant and noisy words. 
 Question: Can the model add new relations to the knowledge graph, or just new entities?
Output (English): Abstractive