论文标题
自然语言句子从API规格产生
Natural Language Sentence Generation from API Specifications
论文作者
论文摘要
API无处不在；它们提供了对自动化解决方案的访问，可以帮助企业自动化一些任务。不幸的是，需要它们的企业用户可能无法使用它们，但不具备利用它们的必要技术技能。将这些API用聊天机器人功能包装是一种解决这些自动化解决方案交互式的解决方案。在这项工作中，我们提出了一个系统来生成句子以训练意图识别模型，这是聊天机器人中至关重要的组成部分，以了解用户的自然语言话语。基于深度学习模型的方法评估我们的方法表现出了令人鼓舞和鼓舞人心的结果，而人类的互动将为系统提供进一步的改进。
APIs are everywhere; they provide access to automation solutions that could help businesses automate some of their tasks. Unfortunately, they may not be accessible to the business users who need them but are not equipped with the necessary technical skills to leverage them. Wrapping these APIs with chatbot capabilities is one solution to make these automation solutions interactive. In this work, we propose a system to generate sentences to train intent recognition models, a crucial component within chatbots to understand natural language utterances from users. Evaluation of our approach based on deep learning models showed promising and inspiring results, and the human-in-the-loop interaction will provide further improvement on the system.
