To develop new Explainable Artificial Intelligence (XAI) techniques for the construction industry. Construction and real estate companies manage thousands of unstructured texts in the form of contracts, certificates, deeds, legal notices, gazettes and other text documents. Manually reviewing and comparing these documents is exhausting, costly and time consuming. AI and NLP-based techniques such as text classification, information extraction, named entities recognition, entity linking, automatic summarization, topic extraction and semantic analysis may enable the iterative management and access to huge amounts of document collections in more intelligent and efficient manners.
However, the main business challenge rises from designing virtual intelligent agents ready to assist humans in the understanding and use of those techniques. Namely: analysing the state of the art solutions, analysing potential GDPR-related risks, estimating expected impact in the proposed scenarios and possible go-to-market actions, and communicating/explaining findings to humans in NL.