Institute of Computer Science
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  2. 2023/24 spring
  3. Natural language processing (LTAT.01.001)
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Natural language processing 2023/24 spring

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Course schedule

This schedule is tentative and may be changed during the semester as necessary.

Assignment deadlines are Sunday at 23:59.

WeekLecture DateLecture/SeminarPracticum/SeminarAssignment due
2414.02.2024Introduction, text processing, text representationsText processing, text representations 
2521.02.2024Word embeddings, text classificationWord embeddings with Gensim and Fasttext, text classification 
2628.02.2024N-gram language modelsIntroduction to pytorch 
2706.03.2024Sequence modeling with recurrent neural networksRecurrent neural networks with pytorchHomework 1 (10.03)
2813.03.2024Encoder-decoder models and attention mechanismEncoder-decoder models with pytorch 
2920.03.2024Self-attention and transformer architectureTransformers with Huggingface 
3027.03.2024Transformer modelsBig Friday: no practiceHomework 2 (31.03)
3103.04.2024Applications: classification tasksApplications: text classification and sequence tagging 
3210.04.2024Further applications: IR, QA etcGuest lecture by David Dale from Facebook Research (Paris) 
3317.04.2024Syntax and dependency parsingHomework/project supportHomework 3 (05.05)
3424.04.2024Project method presentation IProject method presentation II 
3501.05.2024Spring day: no lectureHomework/Project support 
3608.05.2024Paper seminar I (RAG)Paper seminar II (Prompting) 
3715.05.2024Paper seminar III (Data Annotation)Paper seminar IV (Varia) 
3822.05.2024Project seminar IProject seminar II 
3929.05.2024Theory test  
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  • University of Tartu
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