To estimate the function parameters (matrix weights), we followed the approach of Guevara (2010), Baroni and Zamparelli (2010), and Dinu, Pham, and Baroni (2013), as implemented in the DISSECT toolkit.
11 we extracted from our corpus distributional vectors for sufficiently frequent phrases matching the target template (e.g., this/it is cat), and estimated the corresponding function by optimizing (in the leastsquares sense) the mapping from the vectors of the nouns in these phrases (cat) onto the corpus-extracted phrase vectors.