Topic outline

  • About the course

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    • File icon
      Course description 2023/2024 File
      Uploaded 16/02/24, 21:40
    • Forum icon
      Announcements Forum

    • Honor Code

      We encourage students to form study groups, and discuss the lecture and other materials. However, the work that you submit should be your own work. For the programming part you are allowed to use other solutions, algorithms but you must know their properties and also introduce your own contributions for completion of your project (e.g. input data manipulation, parameter changes, architectural changes).


    • Exams

        • First exam, June 10, 2024 at 3pm in PA
        • Second exam, June 20, 2024 at 12pm in P1
        • Third exam, September 6, 2024 at 10am in P22

    • File icon
      A sample of written exam questions 2022 File
      Uploaded 25/05/23, 22:23

  • Lectures

    • The course syllabus.

      Topic
      		 Lectures
      1
      		 Syllabus and obligations
      2 Language and intelligence, a short overview of NLP
      3
      		 Text normalization
      4
      		 Sparse and dense word representations
      5
      		 Neural network and neural embeddings
      6 Convolutional and recurrent neural networks for text
      7
      		 Attention mechanism and transformer networks
      8
      		 Large language models for text classification (BERT)
      9
      		 Large generative language models (GPT and T5 families) and multimodal models
      10
      		 Prompt engineering and retrieval augmented generation
      11
      		 POS-tagging, dependency parsing, named entity recognition and semantic role labelling
      12
      		 Word senses and disambiguation
      13
      		 Affective computing
      14
      		 Machine translation
      16
      		 Summarization and question answering
      17
      		 Knowledge graphs for language
      18
      		 Guest lecture

    • Folder icon
      Lecture slides 2023/24 Folder
    • Page icon
      Additional materials Page

  • Quizzes

    Quizzes encourage continuous learning and review of covered topics. Together, in all quizzes, one shall acquire at least 50% of points. Only quizzes submitted on time count.; wrong answers bring negative points.

  • Lab sessions

    Lab sessions will start in the second week of semester (February 20, 2023).