Metis: A Scalable Natural-Language-Based Intelligent Personal Assistant for Maritime Services

We implement an intelligent personal conversational assistant, communicating in natural language and designed specifically for the maritime industry. A multi-stage message analysis is performed, first classifying the topic of the request and finally applying special parsers to extract the parameters needed to execute the task. Our system is scalable and robust, employing generic and efficient algorithms. Our contributions are manifold. First, we present a complex and multi-level natural-language-processing-based system, focused particularly on the maritime domain and incorporating expert knowledge of the field. Next, we introduce a series of algorithms that can extract deep information using the syntactic structure of the message. Lastly, we implement and evaluate our approach, testing and proving our system's effectiveness and efficiency.