Natural Language Sentence Generation from API Specifications

TL;DR

This paper presents a system that generates natural language sentences from API specifications to train intent recognition models in chatbots, enhancing accessibility for non-technical users and improving automation interactions.

Contribution

The work introduces a novel method for automatically generating training sentences from API specifications to improve intent recognition in chatbot systems.

Findings

Deep learning-based evaluation shows promising results.

Human-in-the-loop interaction can further enhance system performance.

The approach facilitates accessible API integration for non-technical users.

Abstract

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.