Welcome to CoreNLP XML Library’s documentation! — CoreNLP XML Library 0.0.1 documentation (original) (raw)

This library is designed to add a data model over Stanford CoreNLP’s basic XML output.

The Document class is designed to provide lazy-loaded access to information from syntax, coreference, and dependency parse structures within the XML.

Installing the Library¶

It’s as easy as

What You Can Do With This Library¶

Some code examples:

from corenlp_xml import Document

doc = Document(xml_string)

The first sentence

s1 = doc.sentences[0]

Noun phrases for the first sentence

s1_nps = s1.phrase_strings("np")

Text of semantic head of first sentence

s1_head = s1.semantic_head.text

Find all representative coreferences matching noun phrases in sentence 1

s1_corefs = [coref for coref in doc.coreferences if coref.representative and coref.sentence == s1]

Contents:

• The Document Model
• Interacting with Dependencies
• Coreference Resolution