The Natural Language Processing (NLP) engine in Wit.ai’s chatbot framework is robust and capable when compared to its competitors like Microsoft, Amazon and IBM. The SDK for Wit.ai is available in multiple languages such as Python, Ruby, and NodeJS. Wit.ai easily integrates with different ...
In some scenarios, errors are noticeable, obvious, and easy to understand, while in others, with only a cryptic code present, it sometimes becomes tedious to debug. While there are several community question answering (CQA) websites such as Stack Overflow, it is noted that there is a ...
They contain an encoder-decoder architecture optimized for machine learning on sequences of data such as natural language.Some of the capabilities Transformers provide for open source chatbots include:State-of-the-art NLP: Models like BERT and GPT are considered the most advanced neural networks ...
Chatbot design [19] typically relies on parsing techniques, pattern matching strategies and Natural Language Processing (NLP) to represent the chatbot knowledge. The latter is the dominant technique thanks to the popularization of libraries and cloud-based services such as DialogFlow [8] or IBM Watso...
The heterogeneity of chatbot development tools and their need for NLP services makes it challenging to build chatbots. Thus, one possible solution to these problems is to construct a domain-specific language (DSL) to accelerate the development of Chatbots. A Domain Specific Language (DSL) is a...