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    <title>article Does NLU always extract the data correctly? in Sinch AI</title>
    <link>https://community.sinch.com/t5/Sinch-AI/Does-NLU-always-extract-the-data-correctly/ta-p/9662</link>
    <description>&lt;DIV class="lia-message-template-content-zone"&gt;
&lt;P&gt;Understanding natural language isn't easy. But you can improve its performance by following these tips:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Include as many samples as you can in your training data. We recommend you have at least 50 samples of expressions for each intent to achieve accurate results.&lt;/LI&gt;
&lt;LI&gt;Having a similar number of samples for all intents. Unbalanced data might severely degrade the NLU performance.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/DIV&gt;</description>
    <pubDate>Wed, 31 Aug 2022 13:32:16 GMT</pubDate>
    <dc:creator>Frances_Santos</dc:creator>
    <dc:date>2022-08-31T13:32:16Z</dc:date>
    <item>
      <title>Does NLU always extract the data correctly?</title>
      <link>https://community.sinch.com/t5/Sinch-AI/Does-NLU-always-extract-the-data-correctly/ta-p/9662</link>
      <description>&lt;DIV class="lia-message-template-content-zone"&gt;
&lt;P&gt;Understanding natural language isn't easy. But you can improve its performance by following these tips:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Include as many samples as you can in your training data. We recommend you have at least 50 samples of expressions for each intent to achieve accurate results.&lt;/LI&gt;
&lt;LI&gt;Having a similar number of samples for all intents. Unbalanced data might severely degrade the NLU performance.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/DIV&gt;</description>
      <pubDate>Wed, 31 Aug 2022 13:32:16 GMT</pubDate>
      <guid>https://community.sinch.com/t5/Sinch-AI/Does-NLU-always-extract-the-data-correctly/ta-p/9662</guid>
      <dc:creator>Frances_Santos</dc:creator>
      <dc:date>2022-08-31T13:32:16Z</dc:date>
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