Web-API-Based Chatbot Generation with Analysis and Expansion for Training Sentences
Sheng-Kai Wang | Wan-Lin You | Shang-Pin Ma
Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)
With Web API technology becoming increasingly mature, how to integrate Web API and Chatbot technology has become an issue of great interest. This study plans to build a semi-automatic method and tool, BOTEN. This method allows application developers to build Chatbot interfaces with specified Web APIs quickly. To ensure that the Chatbot has sufficient natural language understanding (NLU) capability, this research evaluates the training sentences written by the developer through TF-IDF, WordNet, and SpaCy techniques, and suggests the developer modify the training sentences with poor quality. This technique can also be used to automatically increase the number of training sentences to improve the capability of Intent recognition.