TASK DEFINITION: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
PROBLEM: Our baseline is a GRU network for each of the three tasks.

SOLUTION: Are the models compared to some baseline models?

PROBLEM: We evaluate the effectiveness of our LAN model on two typical knowledge graph completion tasks, i.e., link prediction and triplet classification.

SOLUTION: Which knowledge graph completion tasks do they experiment with?

PROBLEM: However, we found that explicitly initializing these embeddings with vectors pre-trained over a large collection of unlabeled data significantly improved performance (see Section "Effects of initialized embeddings and corrupt-sampling schemes" ).

SOLUTION:
What is the new initialization method proposed in this paper?