NLP-Hexmoor

This course combines essential ideas from linguistics and artificial intelligence to for machine understanding and generation of language. We will cover language syntax, semantics, and pragmatics and discuss the applications such as information extraction, question answering and dialog systems. Machine learning is the main computational tool to solve NLP problems and will devote a part of the course to discussing ML approaches that model NLP tasks. Deep Neural Networks and their ability in learning representations are also part of our approach to NLP problems. We will discuss learning representations and learn about transformer-based architectures that help in learning rich representations. This course is suitable for students who are willing and able to learn abstract concepts, complete programming assignments, develop a project, and produce a term paper.

Team project is a key part of this course. Each project will demonstrate a salient application of interest to students.

Objective: The course will provide skills to investigate digital forensic incidence handling and analysis as well as recommend security mitigations.

The course will offer skills to conduct incidence response, and subsequent handling.

Course administration and grading.The course will be run as a regular lecture class with four indiviual home works (15 points each--60 points in all); Project presentation and report (30 points), One mid-sem presentation (10 points), Teaming is Required.

Dan Jurafsky and James H. Martin, 2023, Natural Language Processing, 3rd edition (in draft form), Prentice Hall, ISBN not known.

Emergency Procedures: Southern Illinois University Carbondale is committed to providing a safe and healthy environment for study and work. Because some health and safety circumstances are beyond our control, we ask that you become familiar with the SIUC Emergency Response Plan and Building Emergency Response Team (BERT) program. Emergency response information is available on posters in buildings on campus, available on BERT's website at www.bert.siu.edu, Department of Safety's website www.dps.siu.edu (disaster drop down) and in Emergency Response Guideline pamphlet. Know how to respond to each type of emergency.