Embedding Lexical Features via Low-Rank Tensors
Table 5: Accuracy for spatial classification of PPs.
['[BOLD] Method', '[BOLD] Accuracy']
In this task lrfr1-Brown better represents the unigram and bigram lexical features, compared to the usage of two low-rank tensors (lrfr1-tucker & lrfr2-cp). This may be because lrfr1-Brown has fewer parameters, which is better for smaller training sets.