Current build:
Natural language processing in Clojure/ClojureScript based on the Stanford-CoreNLP parser.
Warning: Under heavy rewrite. Please refrain from trying to use this until it is complete!
(use 'corenlp)
(def text "This is a simple sentence.")
(tokenize text)
(use 'corenlp)
(pos-tag (tokenize "Colorless green ideas sleep furiously."))
;; => [#<TaggedWord Colorless/JJ> #<TaggedWord green/JJ> ...]
Returns a list of TaggedWord objects. Call .tag() on a TaggedWord instance
to get its tag. For more information, see the relevant Javadoc
To tag named entities utilizing standard Stanford NER model:
(use 'corenlp)
(def pipeline (initialize-pipeline))
(def text "The United States of America will be tagged as a location")
(tag-ner pipeline text)
Training your own model How to Train Your Own Model
To tag named entities utilizing custom trained model:
(use 'corenlp)
(def pipeline (initialize-pipeline "path-to-serialized-model"))
(def text "The United States of America will be tagged as a location")
(tag-ner pipeline text)
Utilizing either NER tagging strategy, a map containing the original text, sentences, tokens, and ner tags will be returned.
To parse a sentence:
(use 'corenlp)
(parse (tokenize text))
You will get back a LabeledScoredTreeNode which you can plug in to other Stanford CoreNLP functions or can convert to a standard Treebank string with:
(str (parse (tokenize text)))
(dependency-graph "I like cheese.")
will parse the sentence and return the dependency graph as a loom graph, which you can then traverse with standard graph algorithms like shortest path, etc. You can also view it:
(def graph (dependency-graph "I like cheese."))
(use 'loom.io)
(view graph)
This requires GraphViz to be installed.
Copyright (C) 2011-2016 Contributors (Clojure code only)
Distributed under the Eclipse Public License, the same as Clojure.
- Cory Giles
- Hans Engel
- Damien Stanton
- Andrew McLoud