| Abstract | Instead, we introduce a Compositional Vector Grammar (CVG), which combines PCFGs with a syntactically untied recursive neural network that learns syntactico-semantic, compositional vector representations. |
| Introduction | The vectors for nonterminals are computed via a new type of recursive neural network which is conditioned on syntactic categories from a PCFG. |
| Introduction | l. CVGs combine the advantages of standard probabilistic context free grammars (PCFG) with those of recursive neural networks (RNNs). |
| Introduction | (2003) apply recursive neural networks to re-rank possible phrase attachments in an incremental parser. |