具有对话服务的Watson NLC服务的集成示例

Question

From the Watson Dialog document，它表示用于与NLC连接的配置设置。但是如果没有运行的示例应用程序，这很难理解。大部分示例可以使用Google，但没有这些设置。我试图找到一些例子，它们使用来自'分类器'设置和'INTENT：{xxxxxx}'设置等的指示设置。如果有人能帮上忙，这将是非常好的，非常感谢。

Answer 1

以下是使用demo NLC training data的示例。将该文本保存为CSV文件。

1. 创建您的NLC服务。服务的名称并不重要。

2. 创建后，点击“Access Beta工具包”。您将需要再次登录，并允许工具包访问NLC服务。

3. 点击“上传训练数据”按钮。选择您之前保存的CSV文件。如果有效，你会看到你的意图+问题。如果失败，最常见的问题是不给它一个csv文件扩展名。

4. 点击“创建分类器”。名称并不重要。

5. 单击训练数据/分类器以查看它是否已完成编译。可能需要一些时间才能完成。

6. 一旦分类器完成编译，它应该会显示分类器ID值。示例：3d84bfx43-nlc-10356

7. 将以下文本复制到XML文件。你在哪里看到CLASSIFIER_ID_GOES_HERE更改为你的分类器ID。

   <?xml version="1.0" encoding="UTF-8"?> 
   <dialog xsi:noNamespaceSchemaLocation="WatsonDialogDocument_1.1.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> 
       <flow> 
        <folder label="Main"> 
         <output> 
          <prompt selectionType="RANDOM"> 
           <item>Enter your weather related question.</item> 
          </prompt> 
          <getUserInput> 
           <search ref="folder_200143"/> 
           <default> 
            <output> 
             <prompt selectionType="RANDOM"> 
              <item>I couldn't determine what you are asking about.</item> 
             </prompt> 
            </output> 
           </default> 
          </getUserInput> 
         </output> 
        </folder> 
        <folder label="Library"> 
         <folder label="NLC Intents" id="folder_200143"> 
          <input isAutoLearnCandidate="false" isRelatedNodeCandidate="true"> 
           <grammar> 
            <item>conditions</item> 
           </grammar> 
           <output> 
            <prompt selectionType="RANDOM"> 
             <item>I believe you are asking about conditions. </item> 
            </prompt> 
           </output> 
          </input> 
          <input> 
           <grammar> 
            <item>temperature</item> 
           </grammar> 
           <output> 
            <prompt selectionType="RANDOM"> 
             <item>I believe you are asking about temperture. </item> 
            </prompt> 
           </output> 
          </input> 
         </folder> 
        </folder> 
        <folder label="Global"/> 
        <folder label="Concepts"/> 
       </flow> 
       <constants> 
        <var_folder name="Home"/> 
       </constants> 
       <variables> 
        <var_folder name="Home"> 
         <var name="CLASSIFIER_CLASS_0" type="TEXT" description="auto-created"/> 
         <var name="CLASSIFIER_CONF_0" type="TEXT" description="auto-created"/> 
         <var name="CLASSIFIER_CLASS_1" type="TEXT" description="auto-created"/> 
         <var name="CLASSIFIER_CONF_1" type="TEXT" description="auto-created"/> 
        </var_folder> 
       </variables> 
       <settings> 
        <setting name="AUTOLEARN" type="USER">false</setting> 
        <setting name="LANGUAGE" type="USER">en-US</setting> 
        <setting name="RESPONSETIME" type="USER">-2</setting> 
        <setting name="MAXAUTOLEARNITEMS" type="USER">4</setting> 
        <setting name="NUMAUTOSETRELATED" type="USER">0</setting> 
        <setting name="TIMEZONEID" type="USER">Australia/Sydney</setting> 
        <setting name="AUTOSETRELATEDNODEID" type="USER">0</setting> 
        <setting name="INPUTMASKTYPE" type="USER">0</setting> 
        <setting name="CONCEPTMATCHING" type="USER">0</setting> 
        <setting name="DNR_NODE_ID">-15</setting> 
        <setting name="MULTISENT">0</setting> 
        <setting name="USE_CONCEPTS">3</setting> 
        <setting name="ENTITIES_SCOPE">3</setting> 
        <setting name="USER_LOGGING">2</setting> 
        <setting name="USE_TRANSLATIONS">3</setting> 
        <setting name="USE_STOP_WORDS">3</setting> 
        <setting name="USE_SPELLING_CORRECTIONS">3</setting> 
        <setting name="USE_AUTOMATIC_STOPWORDS_DETECTION">0</setting> 
        <setting name="PLATFORM_VERSION">10.1</setting> 
        <setting name="UI_COLOUR"></setting> 
        <setting name="PARENT_ACCOUNT"></setting> 
        <setting name="AL_NONE_LABEL">None of the above</setting> 
        <setting name="CLS_SEARCH_MODE">0</setting> 
        <setting name="CLS_MODEL">0</setting> 
        <setting name="CLS_ENDPOINT"></setting> 
        <setting name="CLS_USERNAME"></setting> 
        <setting name="CLS_PASSWORD"></setting> 
        <setting name="CLS_MODELNAME">CLASSIFIER_ID_GOES_HERE</setting> 
        <setting name="CLS_ADVANCED_SETTINGS">false</setting> 
        <setting name="CLS_MAXNBEST">3</setting> 
        <setting name="CLS_USE_OFFTOPIC">false</setting> 
        <setting name="DEFAULT_DNR_RETURN_POINT_CANDIDATE">-1</setting> 
       </settings> 
       <specialSettings> 
        <specialSetting label="DNR Join Statement"> 
         <variations/> 
        </specialSetting> 
        <specialSetting label="AutoLearn Statement"> 
         <variations/> 
        </specialSetting> 
       </specialSettings> 
   </dialog> 
   

8. 将该文件上传到您的对话服务并对其进行测试。