Semgrex allows users to extract information from text using patterns that match syntactic dependencies in sentences. It provides examples of patterns that match noun subjects, direct objects, pronouns, and regular expressions. The document also includes links to the Semgrex npm package, a demo application on GitHub, and resources for natural language processing and syntactic dependencies.

1. How to extract
information from text with
Semgrex
Viktor Turskyi
DataScience Lab
(exAI&BigDataLab)

2. Semgrex Examples
{} >nsubj {} >dobj {}
{tag:NOUN} [ <nsubj {} | <csubj {} ]
{}=a >> {word:foo} : {}=a >> {word:/bar.*/}
{}=rc <rcmod {} : {tag:PRON}=pron <<nsubj {}=rc

3. Demo
https://github.com/koorchik/node-semgrex-demo

4. Links
https://www.npmjs.com/package/semgrex
https://github.com/koorchik/node-semgrex-demo
https://cloud.google.com/natural-language/
https://nlp.stanford.edu/nlp/javadoc/javanlp/edu/stanford/nlp/semgraph/semgrex/S
emgrexPattern.html
http://universaldependencies.org/
https://github.com/yandex/dep_tregex

5. Viktor Turskyi
CTO at WebbyLab
Twitter: @koorchik