Before revision:  To verify our approach, we construct Oxford-2019 dataset, where each entry contains word, context, example sentence and corresponding definition. Experimental results show that Semantics-Generator achieves the state-of-the-art result in definition modeling and the multi-task learning methods are helpful for two tasks to improve the performance.
After revision:  To verify our approach, we construct Oxford-2019 dataset show that our single-task model achieves the state-of-the-art result in definition modeling and the multi-task learning methods are helpful for two tasks to improve the performance.