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<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Thinking Clearly - Latest Comments in NLTK: NLP in Python</title><link>http://clarkparsia.disqus.com/</link><description>Semantics: OWL, RDF, etc.</description><atom:link href="https://clarkparsia.disqus.com/nltk_nlp_in_python/latest.rss" rel="self"></atom:link><language>en</language><lastBuildDate>Sat, 07 Jun 2008 05:03:18 -0000</lastBuildDate><item><title>Re: NLTK: NLP in Python</title><link>http://clarkparsia.com/weblog/2006/10/08/nltk-nlp-in-python/#comment-1446901</link><description>&lt;p&gt;And may be you have a look at &lt;a href="http://attempto.ifi.uzh.ch/site/" rel="nofollow noopener" target="_blank" title="http://attempto.ifi.uzh.ch/site/"&gt;http://attempto.ifi.uzh.ch/...&lt;/a&gt; as they have CNL 2 OWL parser.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Alex Shkotin</dc:creator><pubDate>Sat, 07 Jun 2008 05:03:18 -0000</pubDate></item><item><title>Re: NLTK: NLP in Python</title><link>http://clarkparsia.com/weblog/2006/10/08/nltk-nlp-in-python/#comment-1446900</link><description>&lt;p&gt;Oh! thanks Steven!&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Bijan Parsia</dc:creator><pubDate>Fri, 24 Nov 2006 02:00:53 -0000</pubDate></item><item><title>Re: NLTK: NLP in Python</title><link>http://clarkparsia.com/weblog/2006/10/08/nltk-nlp-in-python/#comment-1446899</link><description>&lt;p&gt;You wrote: "Alas, the NLTK-Lite tutorial is just a set of slides" -- in fact it is currently 250 pages of freely downloadable textbook.  Please see &lt;a href="http://nltk.sf.net/lite/doc/en/" rel="nofollow noopener" target="_blank" title="http://nltk.sf.net/lite/doc/en/"&gt;http://nltk.sf.net/lite/doc...&lt;/a&gt;&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Steven Bird</dc:creator><pubDate>Thu, 16 Nov 2006 05:40:02 -0000</pubDate></item><item><title>Re: NLTK: NLP in Python</title><link>http://clarkparsia.com/weblog/2006/10/08/nltk-nlp-in-python/#comment-1446898</link><description>&lt;p&gt;Thanks for the links! I'll check them out.&lt;/p&gt;&lt;p&gt;I'm aware of the difference and what seems to be the current preferred approach (stats).&lt;/p&gt;&lt;p&gt;The commonsense based one looks absolutely fascinating! And very useful for my current class. Thanks again.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Bijan Parsia</dc:creator><pubDate>Tue, 10 Oct 2006 04:42:53 -0000</pubDate></item><item><title>Re: NLTK: NLP in Python</title><link>http://clarkparsia.com/weblog/2006/10/08/nltk-nlp-in-python/#comment-1446897</link><description>&lt;p&gt;You should also check out ConceptNet &amp;amp; it's underlying Multilingua:&lt;br&gt;&lt;a href="http://web.media.mit.edu/~hugo/conceptnet/" rel="nofollow noopener" target="_blank" title="http://web.media.mit.edu/~hugo/conceptnet/"&gt;http://web.media.mit.edu/~h...&lt;/a&gt;&lt;br&gt;&lt;a href="http://web.media.mit.edu/~hugo/montylingua/" rel="nofollow noopener" target="_blank" title="http://web.media.mit.edu/~hugo/montylingua/"&gt;http://web.media.mit.edu/~h...&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Both are also Python-based &amp;amp; very impressive (based on user-generated common-sense knowledge-base).&lt;/p&gt;&lt;p&gt;Regarding books: you'll see that there are 2 paradigms (logic vs. statistics). The logic-approach (such as in Allen's book) works nicely but requires a lot of tedious maintenance. Personally I believe more in the statistics approach (such as in Manning &amp;amp; Schuetze's book), which seems like the more strategically sound paradigm.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Dibau</dc:creator><pubDate>Mon, 09 Oct 2006 04:36:37 -0000</pubDate></item></channel></rss>