The word embedding layer has 100 dimensions, which is also the case of the hidden layer of the LSTM u l,t .
the search is based on a so-called "floating parser" (Pasupat and Liang, 2015), a modification of a standard chart-parser, which is able to guide the search based on the similarity features.