TEMPLATE-BASED INTENT CLASSIFICATION FOR CHATBOTS
The present disclosure relates to chatbot systems and, more particularly, to techniques for determining that an input utterance is representative of a task that a particular chatbot can perform, basedon matching the input utterance to a template. Techniques are also described for generating template...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The present disclosure relates to chatbot systems and, more particularly, to techniques for determining that an input utterance is representative of a task that a particular chatbot can perform, basedon matching the input utterance to a template. Techniques are also described for generating templates based on example utterances that have been provided for a chatbot. In certain embodiments, an initial set of templates is generated based on example utterances. This initial set of templates is then refined using template generalization techniques, which can be performed at the word or sentence level to generate a final set of templates for use at runtime, when the templates are matched against user utterances. The final set of templates may include one or more generalized templates that werederived from the initial set of templates and may also include the initial set of templates.
本公开涉及用于聊天机器人的基于模板的意图分类。本公开涉及聊天机器人系统,并且更具体地涉及基于将输入话语与模板进行匹配来确定所述输入话语代表特定聊天机器人可以执行的任务的技术。还描述了用于基于已经向聊天机器人提供的示例话语来生成模板的技术。在某些实施例中,基于示例话 |
---|