<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to Home</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>Recent changes to Home</description><atom:link href="https://sourceforge.net/p/jinsect/wiki/Home/feed" rel="self"/><language>en</language><lastBuildDate>Tue, 22 Jul 2014 09:40:16 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/jinsect/wiki/Home/feed" rel="self" type="application/rss+xml"/><item><title>Home modified by George Giannakopoulos</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v7
+++ v8
@@ -69,7 +69,7 @@
 ============
 The next steps will be:

-* Add code snippets for some basic tasks. (Ongoing - Check the [[Code Snippets]] page)
+* Add code snippets for some basic tasks. (Ongoing - Check the [Code Snippets] page)
 * Give a user's manual for the AutoSummENG method (which is implemented in JInsect).
 * Give the rationale of the n-gram graphs in a simple-to-understand text.
 * Rewrite JInsect to support newer programming paradigms and distributed processing. 
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">George Giannakopoulos</dc:creator><pubDate>Tue, 22 Jul 2014 09:40:16 -0000</pubDate><guid>https://sourceforge.net8f6fe758e241719f051ccc84e1b40875605b5401</guid></item><item><title>Home modified by George Giannakopoulos</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v6
+++ v7
@@ -18,6 +18,7 @@
 Presentations and more (friendly) info on n-gram graphs
 =======================================================
 Videos - Greek
+--------------------------
 * [Ένα γραφικό παραμύθι ν-γραμμάτων (2012)](https://www.youtube.com/watch?v=zqVCDdcM920)

 Presentations - English
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">George Giannakopoulos</dc:creator><pubDate>Tue, 22 Jul 2014 09:31:11 -0000</pubDate><guid>https://sourceforge.netb5777c18e50e8a0520cecb55406babb96230a1e9</guid></item><item><title>Home modified by George Giannakopoulos</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v5
+++ v6
@@ -13,7 +13,7 @@

 How can I use the toolkit?
 --------------------------
-Check the [[Code Snippets]] section on how to use or integrate JInsect.
+Check the [Code Snippets] section on how to use or integrate JInsect.

 Presentations and more (friendly) info on n-gram graphs
 =======================================================
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">George Giannakopoulos</dc:creator><pubDate>Mon, 21 Jul 2014 10:38:31 -0000</pubDate><guid>https://sourceforge.net06f5dcaba133fd0feb0f912ce38241a61ad2e827</guid></item><item><title>Home modified by George Giannakopoulos</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v4
+++ v5
@@ -1,3 +1,5 @@
+[TOC]
+
 JINSECT - N-gram Graph Based Toolkit
 ======================================

@@ -7,8 +9,6 @@
 OK. You got me, it is an acronym: Java INteroperable Semantic Extraction Context-based Toolkit

 The idea is that JINSECT is an open toolkit for NLP, that allows analysis of texts taking into account the context. This notion of context is basic in the n-gram graph framework and is applied throughout the applications and code of JINSECT.
-
-[TOC]

 How can I use the toolkit?
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">George Giannakopoulos</dc:creator><pubDate>Mon, 21 Jul 2014 10:38:07 -0000</pubDate><guid>https://sourceforge.netded0334059daf1dd29bad69ed420de2811dd17f5</guid></item><item><title>Home modified by George Giannakopoulos</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v3
+++ v4
@@ -1,16 +1,12 @@
 JINSECT - N-gram Graph Based Toolkit
 ======================================

-The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of [n-gram graphs] within Natural Language Processing applications, ranging from summarization and summary evaluation to text classification and indexing.
+The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of [n-gram graphs](http://scholar.google.com/scholar?hl=en&amp;amp;as_sdt=0,5&amp;amp;q=n-gram+graphs+giannakopoulos) within Natural Language Processing applications, ranging from summarization and summary evaluation to text classification and indexing.
 What does JINSECT stand for?

 OK. You got me, it is an acronym: Java INteroperable Semantic Extraction Context-based Toolkit

 The idea is that JINSECT is an open toolkit for NLP, that allows analysis of texts taking into account the context. This notion of context is basic in the n-gram graph framework and is applied throughout the applications and code of JINSECT.
-
-Contributors:
-[[members limit=20]]
-[[download_button]]

 [TOC]

@@ -79,3 +75,7 @@

 And that's enough for a start I think... Feel free to contact me at ggianna ( a t ) iit (d o t) demokritos (d o t) gr, for any questions or support. 
 The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classiﬁcation and indexing.
+
+Contributors:
+[[members limit=20]]
+[[download_button]]
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">George Giannakopoulos</dc:creator><pubDate>Mon, 21 Jul 2014 10:37:42 -0000</pubDate><guid>https://sourceforge.neta300972341a278400938838fb8edbbec108ac4a1</guid></item><item><title>Home modified by George Giannakopoulos</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v2
+++ v3
@@ -72,10 +72,10 @@
 ============
 The next steps will be:

-    Add code snippets for some basic tasks. (Ongoing - Check the Code Snippets page)
-    Give a user's manual for the AutoSummENG method (which is implemented in JInsect).
-    Give the rationale of the n-gram graphs in a simple-to-understand text.
-    Rewrite JInsect to support newer programming paradigms and distributed processing. 
+* Add code snippets for some basic tasks. (Ongoing - Check the [[Code Snippets]] page)
+* Give a user's manual for the AutoSummENG method (which is implemented in JInsect).
+* Give the rationale of the n-gram graphs in a simple-to-understand text.
+* Rewrite JInsect to support newer programming paradigms and distributed processing. 

 And that's enough for a start I think... Feel free to contact me at ggianna ( a t ) iit (d o t) demokritos (d o t) gr, for any questions or support. 
 The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classiﬁcation and indexing.
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">George Giannakopoulos</dc:creator><pubDate>Mon, 21 Jul 2014 10:35:53 -0000</pubDate><guid>https://sourceforge.net87f5d76ffc26e3ecbe3d86cbbd96cd980169099b</guid></item><item><title>Home modified by George Giannakopoulos</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v1
+++ v2
@@ -1,8 +1,81 @@
-Welcome to your wiki!
+JINSECT - N-gram Graph Based Toolkit
+======================================

-This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: [SamplePage].
+The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of [n-gram graphs] within Natural Language Processing applications, ranging from summarization and summary evaluation to text classification and indexing.
+What does JINSECT stand for?

-The wiki uses [Markdown](/p/jinsect/wiki/markdown_syntax/) syntax.
+OK. You got me, it is an acronym: Java INteroperable Semantic Extraction Context-based Toolkit

+The idea is that JINSECT is an open toolkit for NLP, that allows analysis of texts taking into account the context. This notion of context is basic in the n-gram graph framework and is applied throughout the applications and code of JINSECT.
+
+Contributors:
 [[members limit=20]]
 [[download_button]]
+
+[TOC]
+
+
+How can I use the toolkit?
+--------------------------
+Check the [[Code Snippets]] section on how to use or integrate JInsect.
+
+Presentations and more (friendly) info on n-gram graphs
+=======================================================
+Videos - Greek
+* [Ένα γραφικό παραμύθι ν-γραμμάτων (2012)](https://www.youtube.com/watch?v=zqVCDdcM920)
+
+Presentations - English
+--------------------------
+* [N-gram graphs and proximity graphs: bringing summarization, machine learning and bioinformatics to the same neighborhood (2014)](http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/HalifaxNGGs.pdf)
+* [N-gram Graphs: A generic machine learning tool in the arsenal of NLP, Video Analysis and Adaptive Systems (Part 1) (2010)](http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/setn2010.pdf)
+* [N-gram Graphs: A generic machine learning tool in the arsenal of NLP, Video Analysis and Adaptive Systems (Part 2) (2010)](http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/setn2010b.pdf)
+
+Presentations - Greek
+--------------------------
+* [Ένα γραφικό παραμύθι ν-γραμμάτων (2012)](http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/EugenidioMay2012.pdf)
+* [Παρουσίαση διδακτορικής διατριβής στην αυτόματη εξαγωγή περιλήψεων (2009)](http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/PresentationDec2007-Greek.pdf)
+
+Videos - English
+--------------------------
+(Not yet...)
+
+Related literature and publications
+===================================
+Summarization and Summary Evaluation
+------------------------------------
+1. George Giannakopoulos, George Kiomourtzis, &amp;amp; Vangelis Karkaletsis. (2014). NewSum: “N-Gram Graph”-Based Summarization in the Real World. In Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding. IGI. Retrieved from http://www.igi-global.com/chapter/newsum/96746
+* George Giannakopoulos, &amp;amp; Vangelis Karkaletsis. (2013). Together we stand NPowER-ed. Presented at the CICLing 2013, Karlovasi, Samos, Greece: Springer Berlin / Heidelberg.
+* George Giannakopoulos, &amp;amp; Vangelis Karkaletsis. (2011). AutoSummENG and MeMoG in Evaluating Guided Summaries. In TAC 2011 Workshop. Gaithersburg, MD, U.S.A.
+* Giannakopoulos, G., Vouros, G., &amp;amp; Karkaletsis, V. (2010). MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report). 1012.2042. Retrieved from http://arxiv.org/abs/1012.2042
+* Giannakopoulos, G., &amp;amp; Karkaletsis, V. (2010). Summarization system evaluation variations based on n-gram graphs. Presented at the Text Analysis Conference (TAC) 2010, Gaithersburg, MD, U.S.A.
+* Giannakopoulos, G., &amp;amp; Karkaletsis, V. (2009). N-gram graphs: Representing documents and document sets in summary system evaluation. In Proceedings of Text Analysis Conference TAC2009.
+* Giannakopoulos, G., Karkaletsis, V., &amp;amp; Vouros, G. (2008). Testing the use of N-gram Graphs in Summarization Sub-tasks. In Proceedings of Text Analysis Conference TAC2008. Washignton, U.S.A.
+* Giannakopoulos, G., Karkaletsis, V., Vouros, G., &amp;amp; Stamatopoulos, P. (2008). Summarization system evaluation revisited: N-gram graphs. ACM Trans. Speech Lang. Process., 5(3), 1–39. doi:10.1145/1410358.1410359 
+
+
+Text Classification
+-------------------
+1. Giannakopoulos, G., Petra Mavridi, Georgios Paliouras, George Papadakis, &amp;amp; Konstantinos Tserpes. (2012). Representation Models for Text Classification: a comparative analysis over three Web document types. Presented at the International Conference on Web Intelligence, Mining and Semantics (WIMS 2012), Craiova, Romania: ACM. 
+
+Adaptive Systems and Personalization
+-----------------------------------
+1. George Papadakis, George Giannakopoulos, Claudia Niederee, Themis Palpanas, &amp;amp; Wolfgang Nejdl. (2011). Detecting and exploiting stability in evolving heterogeneous information spaces. In Proceeding of the 11th annual international ACM/IEEE joint conference on Digital libraries (pp. 95–104). Retrieved from http://disi.unitn.it/~themis/publications/jcdl11-DetectStabil.pdf
+* Giannakopoulos, G., &amp;amp; Palpanas, T. (2009). Adaptivity in Entity Subscription Services. In Proceedings of ADAPTIVE2009. Athens, Greece.
+* Giannakopoulos, G., &amp;amp; Palpanas, T. (2010). Content and Type as Orthogonal Modeling Features: a Study on User Interest Awareness in Entity Subscription Services. International Journal of Advances on Networks and Services, 3(2). 
+
+Bioinformatics
+---------------
+1. Dimitris Polychronopoulos, Anastasia Krithara, Christoforos Nikolaou, Giorgos Paliouras, Yannis Almirantis, &amp;amp; George Giannakopoulos. (2014). Analysis and Classification of Constrained DNA Elements with N-gram Graphs and Genomic Signatures. Presented at the AlCoB 2014, Tarragona, Spain. 
+
+
+What's next?
+============
+The next steps will be:
+
+    Add code snippets for some basic tasks. (Ongoing - Check the Code Snippets page)
+    Give a user's manual for the AutoSummENG method (which is implemented in JInsect).
+    Give the rationale of the n-gram graphs in a simple-to-understand text.
+    Rewrite JInsect to support newer programming paradigms and distributed processing. 
+
+And that's enough for a start I think... Feel free to contact me at ggianna ( a t ) iit (d o t) demokritos (d o t) gr, for any questions or support. 
+The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classiﬁcation and indexing.
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">George Giannakopoulos</dc:creator><pubDate>Mon, 21 Jul 2014 10:35:06 -0000</pubDate><guid>https://sourceforge.netb5e0971830e6e4af5298f8a56c23aac04569ea05</guid></item><item><title>Discussion for Home page</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;h1 id="jinsect-n-gram-graph-based-toolkit"&gt;JINSECT - N-gram Graph Based Toolkit&lt;/h1&gt;
&lt;p&gt;The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of &lt;span&gt;[n-gram graphs]&lt;/span&gt; within Natural Language Processing applications, ranging from summarization and summary evaluation to text classification and indexing.&lt;br /&gt;
What does JINSECT stand for?&lt;/p&gt;
&lt;p&gt;OK. You got me, it is an acronym: Java INteroperable Semantic Extraction Context-based Toolkit&lt;/p&gt;
&lt;p&gt;The idea is that JINSECT is an open toolkit for NLP, that allows analysis of texts taking into account the context. This notion of context is basic in the n-gram graph framework and is applied throughout the applications and code of JINSECT.&lt;/p&gt;
&lt;div class="toc"&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="#jinsect-n-gram-graph-based-toolkit"&gt;JINSECT - N-gram Graph Based Toolkit&lt;/a&gt;&lt;ul&gt;
&lt;li&gt;&lt;a href="#how-can-i-use-the-toolkit"&gt;How can I use the toolkit?&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;&lt;a href="#presentations-and-more-friendly-info-on-n-gram-graphs"&gt;Presentations and more (friendly) info on n-gram graphs&lt;/a&gt;&lt;ul&gt;
&lt;li&gt;&lt;a href="#presentations-english"&gt;Presentations - English&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#presentations-greek"&gt;Presentations - Greek&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#videos-english"&gt;Videos - English&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;&lt;a href="#related-literature-and-publications"&gt;Related literature and publications&lt;/a&gt;&lt;ul&gt;
&lt;li&gt;&lt;a href="#summarization-and-summary-evaluation"&gt;Summarization and Summary Evaluation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#text-classification"&gt;Text Classification&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#adaptive-systems-and-personalization"&gt;Adaptive Systems and Personalization&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#bioinformatics"&gt;Bioinformatics&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;&lt;a href="#whats-next"&gt;What's next?&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;h2 id="how-can-i-use-the-toolkit"&gt;How can I use the toolkit?&lt;/h2&gt;
&lt;p&gt;Check the Code Snippets section on how to use or integrate JInsect.&lt;/p&gt;
&lt;h1 id="presentations-and-more-friendly-info-on-n-gram-graphs"&gt;Presentations and more (friendly) info on n-gram graphs&lt;/h1&gt;
&lt;p&gt;Videos - Greek&lt;br /&gt;
* &lt;a class="" href="https://www.youtube.com/watch?v=zqVCDdcM920" rel="nofollow"&gt;Ένα γραφικό παραμύθι ν-γραμμάτων (2012)&lt;/a&gt;&lt;/p&gt;
&lt;h2 id="presentations-english"&gt;Presentations - English&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="" href="http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/HalifaxNGGs.pdf" rel="nofollow"&gt;N-gram graphs and proximity graphs: bringing summarization, machine learning and bioinformatics to the same neighborhood (2014)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="" href="http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/setn2010.pdf" rel="nofollow"&gt;N-gram Graphs: A generic machine learning tool in the arsenal of NLP, Video Analysis and Adaptive Systems (Part 1) (2010)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="" href="http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/setn2010b.pdf" rel="nofollow"&gt;N-gram Graphs: A generic machine learning tool in the arsenal of NLP, Video Analysis and Adaptive Systems (Part 2) (2010)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="presentations-greek"&gt;Presentations - Greek&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class="" href="http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/EugenidioMay2012.pdf" rel="nofollow"&gt;Ένα γραφικό παραμύθι ν-γραμμάτων (2012)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class="" href="http://users.iit.demokritos.gr/~ggianna/Tutorials%20and%20Presentations/NGramGraphs/PresentationDec2007-Greek.pdf" rel="nofollow"&gt;Παρουσίαση διδακτορικής διατριβής στην αυτόματη εξαγωγή περιλήψεων (2009)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="videos-english"&gt;Videos - English&lt;/h2&gt;
&lt;p&gt;(Not yet...)&lt;/p&gt;
&lt;h1 id="related-literature-and-publications"&gt;Related literature and publications&lt;/h1&gt;
&lt;h2 id="summarization-and-summary-evaluation"&gt;Summarization and Summary Evaluation&lt;/h2&gt;
&lt;ol&gt;
&lt;li&gt;George Giannakopoulos, George Kiomourtzis, &amp;amp; Vangelis Karkaletsis. (2014). NewSum: “N-Gram Graph”-Based Summarization in the Real World. In Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding. IGI. Retrieved from &lt;a href="http://www.igi-global.com/chapter/newsum/96746" rel="nofollow"&gt;http://www.igi-global.com/chapter/newsum/96746&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;George Giannakopoulos, &amp;amp; Vangelis Karkaletsis. (2013). Together we stand NPowER-ed. Presented at the CICLing 2013, Karlovasi, Samos, Greece: Springer Berlin / Heidelberg.&lt;/li&gt;
&lt;li&gt;George Giannakopoulos, &amp;amp; Vangelis Karkaletsis. (2011). AutoSummENG and MeMoG in Evaluating Guided Summaries. In TAC 2011 Workshop. Gaithersburg, MD, U.S.A.&lt;/li&gt;
&lt;li&gt;Giannakopoulos, G., Vouros, G., &amp;amp; Karkaletsis, V. (2010). MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report). 1012.2042. Retrieved from &lt;a href="http://arxiv.org/abs/1012.2042" rel="nofollow"&gt;http://arxiv.org/abs/1012.2042&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Giannakopoulos, G., &amp;amp; Karkaletsis, V. (2010). Summarization system evaluation variations based on n-gram graphs. Presented at the Text Analysis Conference (TAC) 2010, Gaithersburg, MD, U.S.A.&lt;/li&gt;
&lt;li&gt;Giannakopoulos, G., &amp;amp; Karkaletsis, V. (2009). N-gram graphs: Representing documents and document sets in summary system evaluation. In Proceedings of Text Analysis Conference TAC2009.&lt;/li&gt;
&lt;li&gt;Giannakopoulos, G., Karkaletsis, V., &amp;amp; Vouros, G. (2008). Testing the use of N-gram Graphs in Summarization Sub-tasks. In Proceedings of Text Analysis Conference TAC2008. Washignton, U.S.A.&lt;/li&gt;
&lt;li&gt;Giannakopoulos, G., Karkaletsis, V., Vouros, G., &amp;amp; Stamatopoulos, P. (2008). Summarization system evaluation revisited: N-gram graphs. ACM Trans. Speech Lang. Process., 5(3), 1–39. doi:10.1145/1410358.1410359 &lt;/li&gt;
&lt;/ol&gt;
&lt;h2 id="text-classification"&gt;Text Classification&lt;/h2&gt;
&lt;ol&gt;
&lt;li&gt;Giannakopoulos, G., Petra Mavridi, Georgios Paliouras, George Papadakis, &amp;amp; Konstantinos Tserpes. (2012). Representation Models for Text Classification: a comparative analysis over three Web document types. Presented at the International Conference on Web Intelligence, Mining and Semantics (WIMS 2012), Craiova, Romania: ACM. &lt;/li&gt;
&lt;/ol&gt;
&lt;h2 id="adaptive-systems-and-personalization"&gt;Adaptive Systems and Personalization&lt;/h2&gt;
&lt;ol&gt;
&lt;li&gt;George Papadakis, George Giannakopoulos, Claudia Niederee, Themis Palpanas, &amp;amp; Wolfgang Nejdl. (2011). Detecting and exploiting stability in evolving heterogeneous information spaces. In Proceeding of the 11th annual international ACM/IEEE joint conference on Digital libraries (pp. 95–104). Retrieved from &lt;a href="http://disi.unitn.it/~themis/publications/jcdl11-DetectStabil.pdf" rel="nofollow"&gt;http://disi.unitn.it/~themis/publications/jcdl11-DetectStabil.pdf&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Giannakopoulos, G., &amp;amp; Palpanas, T. (2009). Adaptivity in Entity Subscription Services. In Proceedings of ADAPTIVE2009. Athens, Greece.&lt;/li&gt;
&lt;li&gt;Giannakopoulos, G., &amp;amp; Palpanas, T. (2010). Content and Type as Orthogonal Modeling Features: a Study on User Interest Awareness in Entity Subscription Services. International Journal of Advances on Networks and Services, 3(2). &lt;/li&gt;
&lt;/ol&gt;
&lt;h2 id="bioinformatics"&gt;Bioinformatics&lt;/h2&gt;
&lt;ol&gt;
&lt;li&gt;Dimitris Polychronopoulos, Anastasia Krithara, Christoforos Nikolaou, Giorgos Paliouras, Yannis Almirantis, &amp;amp; George Giannakopoulos. (2014). Analysis and Classification of Constrained DNA Elements with N-gram Graphs and Genomic Signatures. Presented at the AlCoB 2014, Tarragona, Spain. &lt;/li&gt;
&lt;/ol&gt;
&lt;h1 id="whats-next"&gt;What's next?&lt;/h1&gt;
&lt;p&gt;The next steps will be:&lt;/p&gt;
&lt;div class="codehilite"&gt;&lt;pre&gt;&lt;span class="n"&gt;Add&lt;/span&gt; &lt;span class="n"&gt;code&lt;/span&gt; &lt;span class="n"&gt;snippets&lt;/span&gt; &lt;span class="k"&gt;for&lt;/span&gt; &lt;span class="n"&gt;some&lt;/span&gt; &lt;span class="n"&gt;basic&lt;/span&gt; &lt;span class="n"&gt;tasks&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt; &lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;Ongoing&lt;/span&gt; &lt;span class="o"&gt;-&lt;/span&gt; &lt;span class="n"&gt;Check&lt;/span&gt; &lt;span class="n"&gt;the&lt;/span&gt; &lt;span class="n"&gt;Code&lt;/span&gt; &lt;span class="n"&gt;Snippets&lt;/span&gt; &lt;span class="n"&gt;page&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;span class="n"&gt;Give&lt;/span&gt; &lt;span class="n"&gt;a&lt;/span&gt; &lt;span class="n"&gt;user&lt;/span&gt;&lt;span class="err"&gt;'&lt;/span&gt;&lt;span class="n"&gt;s&lt;/span&gt; &lt;span class="n"&gt;manual&lt;/span&gt; &lt;span class="k"&gt;for&lt;/span&gt; &lt;span class="n"&gt;the&lt;/span&gt; &lt;span class="n"&gt;AutoSummENG&lt;/span&gt; &lt;span class="n"&gt;method&lt;/span&gt; &lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;which&lt;/span&gt; &lt;span class="n"&gt;is&lt;/span&gt; &lt;span class="n"&gt;implemented&lt;/span&gt; &lt;span class="n"&gt;in&lt;/span&gt; &lt;span class="n"&gt;JInsect&lt;/span&gt;&lt;span class="p"&gt;).&lt;/span&gt;
&lt;span class="n"&gt;Give&lt;/span&gt; &lt;span class="n"&gt;the&lt;/span&gt; &lt;span class="n"&gt;rationale&lt;/span&gt; &lt;span class="n"&gt;of&lt;/span&gt; &lt;span class="n"&gt;the&lt;/span&gt; &lt;span class="n"&gt;n&lt;/span&gt;&lt;span class="o"&gt;-&lt;/span&gt;&lt;span class="n"&gt;gram&lt;/span&gt; &lt;span class="n"&gt;graphs&lt;/span&gt; &lt;span class="n"&gt;in&lt;/span&gt; &lt;span class="n"&gt;a&lt;/span&gt; &lt;span class="n"&gt;simple&lt;/span&gt;&lt;span class="o"&gt;-&lt;/span&gt;&lt;span class="n"&gt;to&lt;/span&gt;&lt;span class="o"&gt;-&lt;/span&gt;&lt;span class="n"&gt;understand&lt;/span&gt; &lt;span class="n"&gt;text&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;
&lt;span class="n"&gt;Rewrite&lt;/span&gt; &lt;span class="n"&gt;JInsect&lt;/span&gt; &lt;span class="n"&gt;to&lt;/span&gt; &lt;span class="n"&gt;support&lt;/span&gt; &lt;span class="n"&gt;newer&lt;/span&gt; &lt;span class="n"&gt;programming&lt;/span&gt; &lt;span class="n"&gt;paradigms&lt;/span&gt; &lt;span class="n"&gt;and&lt;/span&gt; &lt;span class="n"&gt;distributed&lt;/span&gt; &lt;span class="n"&gt;processing&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;
&lt;/pre&gt;&lt;/div&gt;
&lt;p&gt;And that's enough for a start I think... Feel free to contact me at ggianna ( a t ) iit (d o t) demokritos (d o t) gr, for any questions or support. &lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">George Giannakopoulos</dc:creator><pubDate>Mon, 21 Jul 2014 10:33:42 -0000</pubDate><guid>https://sourceforge.net4702c4a268fc77b084d75a7d622968a03b01bd37</guid></item><item><title>Home modified by George Giannakopoulos</title><link>https://sourceforge.net/p/jinsect/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;Welcome to your wiki!&lt;/p&gt;
&lt;p&gt;This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: &lt;span&gt;[SamplePage]&lt;/span&gt;.&lt;/p&gt;
&lt;p&gt;The wiki uses &lt;a class="" href="/p/jinsect/wiki/markdown_syntax/"&gt;Markdown&lt;/a&gt; syntax.&lt;/p&gt;
&lt;p&gt;&lt;h6&gt;Project Members:&lt;/h6&gt;&lt;ul class="md-users-list"&gt;&lt;li&gt;&lt;a href="/u/pckid/"&gt;George Giannakopoulos&lt;/a&gt; (admin)&lt;/li&gt;&lt;li&gt;&lt;a href="/u/karidaki/"&gt;Panagiotis  Giotis&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;
&lt;/p&gt;&lt;p&gt;&lt;span class="download-button-517ad94e2718467b12eb1466" style="margin-bottom: 1em; display: block;"&gt;&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">George Giannakopoulos</dc:creator><pubDate>Fri, 26 Apr 2013 19:45:19 -0000</pubDate><guid>https://sourceforge.net147326d010904445355fcb761ad2e5ffacde9286</guid></item></channel></rss>