A Swedish Natural Language Processing Pipeline For Building Knowledge Graphs

Detta är en Master-uppsats från KTH/Skolan för elektroteknik och datavetenskap (EECS)

Författare: Alejandro González; [2018]

Nyckelord: ;

Sammanfattning: The concept of knowledge is proper only to the human being thanks to the faculty of understanding. The immaterial concepts, independent of the material causes of the experience constitute an evident proof of the existence of the rational soul that makes the human being a spiritual being "in a way independent of the material. Nowadays research efforts in the field of Artificial Intelligence are trying to mimic this human capacity using computers by means of tteachingthem how to read and understand human language using Machine Learning techniques related to the processing of human language. However, there are still a significant number of challenges such as how to represent this knowledge so can be used by a machine to infer conclusions or provide answers. This thesis presents a Natural Language Processing pipeline that is capable of building a knowledge representation of the information contained in Swedish human-generated text. The result is a system that, given Swedish text in its raw format, builds a representation in the form of a Knowledge Graph of the knowledge or information contained in that text.

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