In future work, I intend to explore adding more symbolic machinery to the architecture [27] with the goal of handling genuinely new symbols. Hybrid models could also address the challenge of generalizing to longer output sequences, a problem that continues to vex neural networks<cite> [15,</cite> 3, 28] including meta seq2seq learning.