Development of a question answering system for legal urban information retrieval

There is a growing trend for using artificial intelligence systems in all areas. From the automotive to the health sector, these new technologies are changing the current land-scape, placing many as the beginning of the next industrial revolution. Among all the research fields currently flourishing, one of the most promising is the so-called natural language processing (NLP). This discipline studies text analysis techniques to create in-telligent systems capable of understanding texts and even providing answers to complex questions. One of the products that have emerged as a result of this discipline are chat-bots, intelligent systems that respond to questions asked by users with relative freedom of response. This Master Thesis focuses on developing a chatbot capable of answering legal and administrative urban information questions. Specifically, it focuses on creating an information retrieval system that uses deep learning models to analyze and extract relevant information from a specific text to answer questions asked by users. In turn, the interaction between the system and the users will be carried out through Alexa and Dialogflow, intelligent conversation systems capable of being deployed on multiple devices