svn commit: r796111 - /websites/staging/stanbol/trunk/content/stanbol/docs/trunk/enhancer/engines/keywordlinkingengine.html

[bu...@apache.org]

Author: buildbot
Date: Thu Sep 22 15:43:29 2011
New Revision: 796111

Log:
Staging update by buildbot

Modified:
    websites/staging/stanbol/trunk/content/stanbol/docs/trunk/enhancer/engines/keywordlinkingengine.html

Modified: websites/staging/stanbol/trunk/content/stanbol/docs/trunk/enhancer/engines/keywordlinkingengine.html
==============================================================================
--- websites/staging/stanbol/trunk/content/stanbol/docs/trunk/enhancer/engines/keywordlinkingengine.html (original)
+++ websites/staging/stanbol/trunk/content/stanbol/docs/trunk/enhancer/engines/keywordlinkingengine.html Thu Sep 22 15:43:29 2011
@@ -56,9 +56,17 @@ The following list provides a short over
 <li><strong>Multi-lingual labels of the controlled vocabulary:</strong> Entities are matched based on labels of the current language and labels without any defined language. e.g. English labels will not be matched against German language texts. Therefore it is important to have a controlled vocabulary that includes labels in the language of the texts you want to enhance.</li>
 <li>
 <p><strong>Natural Language Processing support:</strong> The KeywordLinkingEngine is able to use <a href="http://opennlp.sourceforge.net/api/opennlp/tools/sentdetect/SentenceDetector.html">Sentence Detectors</a>, <a href="http://opennlp.sourceforge.net/api/opennlp/tools/postag/POSTagger.html">POS (Part of Speech) taggers</a> and <a href="http://opennlp.sourceforge.net/api/opennlp/tools/chunker/Chunker.html">Chunkers</a>. If such components are available for a language then they are used to optimize the enhancement process.</p>
+</li>
+<li>
 <p><strong>Sentence detector:</strong> If a sentence detector is present the memory footprint of the engines improves, because Tokens, POS tags and Chunks are only kept for the currently active sentence. If no sentence detector is available the entire content is treated as a single sentence.</p>
+</li>
+<li>
 <p><strong>Tokenizer:</strong> A (word) <a href="http://opennlp.sourceforge.net/api/opennlp/tools/tokenize/Tokenizer.html">tokenizer</a> is required for the enhancement process. If no specific tokenizer is available for a given language, then the <a href="http://opennlp.sourceforge.net/api/opennlp/tools/tokenize/SimpleTokenizer.html">OpenNLP SimpleTokenizer</a> is used as default. How well this tokenizer works will depend on the language.</p>
+</li>
+<li>
 <p><strong>POS tagger:</strong> POS (Part-of-Speech) taggers annotate tokens with their type. Because of the KeywordLinkingEngine is only interested in Nouns, Foreign Words and Numbers, the presence of such a tagger allows to skip a lot of the tokens and to improve performance. However POS taggers use different sets of tags for different languages. Because of that it is not enough that a POS tagger is available for a language there MUST BE also a configuration of the POS tags representing Nouns.</p>
+</li>
+<li>
 <p><strong>Chunker:</strong> There are two types of Chunkers. First the <a href="http://opennlp.sourceforge.net/api/opennlp/tools/chunker/Chunker.html">Chunkers</a> as provided by OpenNLP (based on statistical models) and second a <a href="http://svn.apache.org/repos/asf/incubator/stanbol/trunk/commons/opennlp/src/main/java/org/apache/stanbol/commons/opennlp/PosTypeChunker.java">POS tag based Chunker</a> provided by the openNLP bundle of Stanbol. Currently the availability of a Chunker does not have a big influence on the performance nor the quality of the Enhancements.</p>
 </li>
 <li>