POS-Tagger (STTS)

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  Rene Member Posts: 24 Contributor II

  April 2012

  Hi and welcome to RM,
  
  here's a short example which tries to extract nouns and proper names from a given document:

  
  <?xml version="1.0" encoding="UTF-8" standalone="no"?>
  <process version="5.2.003">
    <context>
      <input/>
      <output/>
      <macros/>
    </context>
    <operator activated="true" class="process" compatibility="5.2.003" expanded="true" name="Process">
      <process expanded="true" height="224" width="279">
        <operator activated="true" class="text:create_document" compatibility="5.2.001" expanded="true" height="60" name="Create Document" width="90" x="45" y="30">
          <parameter key="text" value="ach dem Foulspiel von Roman Weidenfeller im Strafraum der Dortmunder schnappte sich Arjen Robben sofort den Ball.&#10;&#10;Ohne zu überlegen marschierte er schnellen Schrittes auf den Elfmeterpunkt zu und legte sich den Ball zurecht.&#10;&#10;Was dann folgte, ist bekannt. (DIASHOW: Der 30. Spieltag).&#10;&#10;Robben wurde zur tragischen Figur des Spitzenspiels zwischen Dortmund und Bayern, das die Borussen mit 1:0 für sich entscheiden konnten (Bericht).&#10;&#10;Sein verschossener Elfmeter war aber nur der Höhepunkt der 14 albtraumhaften Minuten des Niederländers, der in der Kabine &quot;total niedergeschlagen&quot; war, wie Bayern-Manager Christian Nerlinger bestätigte. "/>
        </operator>
        <operator activated="true" class="text:process_documents" compatibility="5.2.001" expanded="true" height="94" name="Process Documents" width="90" x="45" y="120">
          <process expanded="true" height="355" width="334">
            <operator activated="true" class="text:tokenize" compatibility="5.2.001" expanded="true" height="60" name="Tokenize" width="90" x="45" y="30"/>
            <operator activated="true" class="text:filter_tokens_by_pos" compatibility="5.2.001" expanded="true" height="60" name="Filter Tokens (by POS Tags)" width="90" x="188" y="30">
              <parameter key="language" value="German"/>
              <parameter key="expression" value="NN.*|NE.*"/>
            </operator>
            <connect from_port="document" to_op="Tokenize" to_port="document"/>
            <connect from_op="Tokenize" from_port="document" to_op="Filter Tokens (by POS Tags)" to_port="document"/>
            <connect from_op="Filter Tokens (by POS Tags)" from_port="document" to_port="document 1"/>
            <portSpacing port="source_document" spacing="0"/>
            <portSpacing port="sink_document 1" spacing="0"/>
            <portSpacing port="sink_document 2" spacing="0"/>
          </process>
        </operator>
        <connect from_op="Create Document" from_port="output" to_op="Process Documents" to_port="documents 1"/>
        <connect from_op="Process Documents" from_port="word list" to_port="result 1"/>
        <portSpacing port="source_input 1" spacing="0"/>
        <portSpacing port="sink_result 1" spacing="0"/>
        <portSpacing port="sink_result 2" spacing="0"/>
      </process>
    </operator>
  </process>
  

  To read in your chat logs you would probably use the "Process Documents from Files" operator (instead of "Create Doc + Process Docs") and nest the tokenizer + tagger in there.
  
  Greets
  from Berlin,
  René

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  RWingerter Member Posts: 38 Contributor II

  March 2013

  Thanks for the example!
  
  Roland

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