<cite>Miwa and Bansal (2016)</cite> were among the first to use neural networks for end-to-end relation extraction, showing highly promising results. In particular, <cite>they</cite> used bidirectional LSTM (Graves et al., 2013) to learn hidden word representations under a sentential context, and further leveraged treestructured LSTM (Tai et al., 2015) to encode syntactic information, given the output of a parser.