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Analyzed 29 days ago. based on code collected 4 months ago.

Project Summary

RelEx is an English-language semantic relationship extractor, built on the Carnegie-Mellon Link Grammar parser. It can identify dependency-grammar dependencies, such as subject, object, indirect object and many other relationships between words in a sentence. It can also provide part-of-speech tagging, noun-number tagging, verb tense tagging, gender tagging, and so on. Relex includes a basic implementation of the Hobbs anaphora (pronoun) resolution algorithm. RelEx also provides semantic relationship framing, similar to that of FrameNet.

Tags

ai anaphora artificial_intelligence computational_linguistics corpus_linguistics dependency dependency_grammar grammar hobbs java linguistics natural_language natural_language_processing nlp opencog parser part_of_speech semantics stanfordparser wordnet

In a Nutshell, RelEx Semantic Relationship Extractor...

This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Java
74%
Emacs Lisp
7%
Perl
5%
6 Other
14%

30 Day Summary

Feb 8 2017 — Mar 10 2017

12 Month Summary

Mar 10 2016 — Mar 10 2017
  • 148 Commits
    Up + 52 (54%) from previous 12 months
  • 7 Contributors
    Down -2 (22%) from previous 12 months