Natural Language Processing Advancements By Deep Learning: A Survey
TABLE III: Constituency parsing state-of-the-art models evaluated on the WSJ-PTB dataset.
['Model', 'Accuracy']
There are different types of parsing. Constituency Parsing refers in particular to assigning a syntactic structure to a sentence. A greedy parser has been introduced in [legrand2014joint] which performs a syntactic and semantic summary of content using vector representations. To enhance the results achieved by [legrand2014joint], the approach proposed in [legrand2016deep] focuses on learning morphological embeddings. Recently, deep neural network models outperformed traditional algorithms.