Alejandro Castañeira (Principal Data Scientist): When Human Resources meet NLP and AI скачать в хорошем качестве

Alejandro Castañeira (Principal Data Scientist): When Human Resources meet NLP and AI

NLP Zurich: Meetup.com: https://www.meetup.com/NLP-Zurich/ Linkedin:   / nlp-zurich   Twitter:   / nlp_zurich   Talk summary: Even today, there are no end-to-end digital systems in the field of Human Resources, where keyword-based searches or manual resume screening could contribute to the omission of valuable opportunities for all parties or lengthy hiring procedures. Therefore, in this talk, I would like to present a Recommender System in the field of HR, which comprises a series of Natural Language Processing techniques and Deep Learning models, that allow achieving a fully automated process which will propose semantically related and explainable suggestions to job seekers and companies in real time. I will explain the theory and design conceptions taken to represent the HR data in a structured way, and I will describe each of the NLP tools involved in the process, like: domain-specialized Ontologies, Named Entity Recognition, Text Classification, Entity Relationships, among others. The described system is running in production at Janzz.technology where it's used to match candidates and job seekers on a daily-basis so that at the end of the talk we will have a small demo. About the speaker: Alejandro Jesús Castañeira Rodríguez is a Senior Data Scientist at Janzz.technology a leading developing and consulting company in semantic skills, job matching and use of complex human resources data. Before coming to industry, he was a lecturer of Applied Mathematics at the Universidad de Oriente, Cuba.