Useful NLP links and notes - Redigeerimiste ajalugu

Tanel: /* Different popular toolkits for NLP */

2016-10-10T09:14:14Z

Different popular toolkits for NLP

Tanel: /* Different popular toolkits for NLP */

2016-10-10T09:10:36Z

Different popular toolkits for NLP

Tanel: /* Kinds of NLP and general background */

2015-10-06T16:02:44Z

Kinds of NLP and general background

Tanel: /* Different popular toolkits for NLP */

2015-10-05T14:43:49Z

Different popular toolkits for NLP

Tanel: /* Different popular toolkits for NLP */

2015-10-05T14:06:59Z

Different popular toolkits for NLP

Tanel: /* Kinds of NLP and general background */

2015-10-05T14:06:14Z

Kinds of NLP and general background

Tanel: /* Kinds of NLP and general background */

2015-10-05T14:05:59Z

Kinds of NLP and general background

Tanel: Uus lehekülg: '== Kinds of NLP and general background == Useful wikilinks for our context: [https://en.wikipedia.org/wiki/Natural_language_processing NLP as a whole] [https://en.wikipedia.org...'

2015-10-05T14:05:35Z

Uus lehekülg: '== Kinds of NLP and general background == Useful wikilinks for our context: [https://en.wikipedia.org/wiki/Natural_language_processing NLP as a whole] [https://en.wikipedia.org...'

Uus lehekülg

== Kinds of NLP and general background ==

Useful wikilinks for our context:

[https://en.wikipedia.org/wiki/Natural_language_processing NLP as a whole]
[https://en.wikipedia.org/wiki/Knowledge_extraction Knowledge extraction]
[https://en.wikipedia.org/wiki/Natural_language_understanding NL understanding]
[https://en.wikipedia.org/wiki/Pheme_%28project%29 Pheme: a cool project]

Good thorough courses freely available:

[https://class.coursera.org/nlp/ Coursera Stanford NLP course], see also [https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html free slides] and [http://www.cs.colorado.edu/~martin/slp2.html an important textbook]
[http://nlp.cs.rpi.edu/course/spring14/nlp.html NLP with Watson]

== Different popular toolkits for NLP ==

* [http://nlp.stanford.edu/software/corenlp.shtml main Stanford NLP tool] in the context of a larger set of [http://nlp.stanford.edu/software/ Stanford NLP toolkits] like [http://nlp.stanford.edu/software/CRF-NER.shtml stanford NER etc]
* [http://www.nltk.org/ NLTK: the main Python toolkit], see also [http://pixelmonkey.org/pub/nlp-training/ this tutorial] [http://pythonprogramming.net/named-entity-recognition-nltk-python/ and this NER tutorial]
* [http://www.clips.ua.ac.be/pattern Pattern toolkit for Python]
* [http://opennlp.apache.org/ opennlp]
* [https://pypi.python.org/pypi/PyNLPl/ PyNLP for Python]
* [http://williamjturkel.net/2013/06/30/named-entity-recognition-with-command-line-tools-in-linux/ NER tutorial for Linux] in the context of [http://williamjturkel.net/category/linux-unix/ a larger practical tutorial]

== Restricted english ==

Two important projects:

* [http://attempto.ifi.uzh.ch/site/pubs/ Attempto restricted english] as intro use [http://attempto.ifi.uzh.ch/site/talks/files/Talk.Stanford.05.pdf this talk]
* [http://inform7.com/ Inform] system for interactive fiction, see also [http://inform-fiction.org/manual/html/contents.html an older book] and [http://eblong.com/zarf/if7/HandyKit/source.html this example]

Old interesting projects:

* [http://www.ai.sri.com/natural-language/projects/arpa-sls/commandtalk.html command talk]
* Google "WITAS Multi-Modal Dialogue System"

An interesting tutorial:

* [http://www.ainewsletter.com/downloads/if_docs/tutorial.htm AMZI interactive fiction tutorial game with Prolog]

== Ontologies ==

Start looking at important general ontologies:

* [http://wordnet.princeton.edu/ Wordnet]
* [http://www.cl.ut.ee/ressursid/teksaurus/ Teksaurus]
* [http://conceptnet5.media.mit.edu/ Conceptnet]
* [https://schema.org/docs/full.html schema.org]
* [http://www.ontologyportal.org/ SUMO]

== Dialogue and pragmatics ==

* [http://www.universalteacher.org.uk/lang/pragmatics.htm overview]
* [http://en.wikipedia.org/wiki/Gricean_maxims Grice dialogue maxims]

←Vanem redaktsioon		Redaktsioon: 10. oktoober 2016, kell 09:10
26. rida:		26. rida:

	Web APIs:		Web APIs:
		+	* [https://cloud.google.com/natural-language/ Google natural language API]
	* [http://new.opencalais.com opencalais] (free registration required)		* [http://new.opencalais.com opencalais] (free registration required)

@@ 6. rida: / 6. rida: @@
 * [https://en.wikipedia.org/wiki/Knowledge_extraction Knowledge extraction]
 * [https://en.wikipedia.org/wiki/Natural_language_understanding NL understanding]
-* [https://en.wikipedia.org/wiki/Pheme_%28project%29 Pheme: a cool project]
 Good thorough courses freely available:

@@ 10. rida: / 10. rida: @@
 Good thorough courses freely available:
-* [https://class.coursera.org/nlp/ Coursera Stanford NLP course], see also [https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html free slides] * and [http://www.cs.colorado.edu/~martin/slp2.html an important textbook]
+* [https://class.coursera.org/nlp/ Coursera Stanford NLP course], see also [https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html free slides]  and [http://www.cs.colorado.edu/~martin/slp2.html an important textbook]
 * [http://nlp.cs.rpi.edu/course/spring14/nlp.html NLP with Watson]

@@ 18. rida: / 18. rida: @@
 == Different popular toolkits for NLP ==
 * [http://nlp.stanford.edu/software/corenlp.shtml CoreNLP: the main Stanford NLP tool] in the context of a larger set of [http://nlp.stanford.edu/software/ Stanford NLP toolkits] like [http://nlp.stanford.edu/software/CRF-NER.shtml stanford NER etc]
 * [http://www.nltk.org/ NLTK: the main Python toolkit], see also [http://pixelmonkey.org/pub/nlp-training/ this tutorial] [http://pythonprogramming.net/named-entity-recognition-nltk-python/ and this NER tutorial]

@@ 21. rida: / 21. rida: @@
 * [https://pypi.python.org/pypi/PyNLPl/ PyNLP for Python]
 * [http://williamjturkel.net/2013/06/30/named-entity-recognition-with-command-line-tools-in-linux/ NER tutorial for Linux] in the context of [http://williamjturkel.net/category/linux-unix/ a larger practical tutorial]
 ==  Restricted english ==