Dependency Parsing

Dependency Parsing is the process to analyze the grammatical structure in a sentence and find out related words as well as the type of the relationship between them.

medtext utilizes the Universal Dependency Graph (UDG) to describe the grammatical relationships in a sentence. UDG is a directed graph, which represents all universal dependency information in a sentence. The vertices in a UDG represent the information such as the word, part-of-speech and the word lemma. The edges in a UDG represent the typed dependencies from the governor to its dependent and are labeled with the corresponding dependency type. UDG effectively represents the syntactic head of each word in a sentence and the dependency relation between words.

• spaCy: See Text preprocessing > spaCy

• Stanza: See Text preprocessing > Stanza

• Bllip: medtext obtains the universal dependencies by applying the Stanford dependency converter with the CCProcessed and Universal option.

Usage:
    medtext-tree2dep [options] -i FILE -o FILE

Options:
    -i FILE         Inpput file
    -o FILE         Output file
    --overwrite     Overwrite the existing file

from medtext_parse.models.tree2dep import BioCPtb2DepConverter
converter = BioCPtb2DepConverter()