Assoc. Prof. Diana Trandabăţ (Alexandru Ioan Cuza University of Iaşi)
Introduction to Natural Language Processing
Artificial Intelligence enhances computers with human-like appearance, behavior and even judgment. In an attempt to learn how people communicate, computers use language models derived from human knowledge. While still far from completely understanding hidden messages in political discourses, computer and social scientists have joined efforts in modeling a human-like linguistic behavior.
This is the field of Natural Language Processing (NLP), which will be introduced during this block lecture. NLP’s main focus is on language, either written or spoken. Texts live around us just as we live around them. At any instant, there are texts that people write, share, use to get informed, etc. (starting with an advertisement heard on the radio every morning and finishing with the contract of sale signed before a notary).
Research in NLP has resulted in massive amounts of structured linguistic data, such as ontologies, annotated corpora, various resources and tools. However, much of the information floating around us is unstructured, unannotated, raw data. Here is where the Natural Language Processing field intervenes, intending to analyze, structure, extract and generate meaning from the available sources of information, with an emphasis on real-life applications.
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