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Učilnica FRI 23/24
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  1. NLP
  2. Lecture slides 2023/24

Lecture slides 2023/24

    • NLP-01-Introduction - language and intelligence.pdfNLP-01-Introduction - language and intelligence.pdf
    • NLP-02-Text preprocessing.pdfNLP-02-Text preprocessing.pdf
    • NLP-03-Formal languages.pdfNLP-03-Formal languages.pdf
    • NLP-04-Sparse text representations.pdfNLP-04-Sparse text representations.pdf
    • NLP-05-N-gram language models.pdfNLP-05-N-gram language models.pdf
    • NLP-06-Revision of neural networks.pdfNLP-06-Revision of neural networks.pdf
    • NLP-07-Static neural embeddings.pdfNLP-07-Static neural embeddings.pdf
    • NLP-08-Recurrent and convolutional neural networks for text.pdfNLP-08-Recurrent and convolutional neural networks for text.pdf
    • NLP-09-Transformers for text.pdfNLP-09-Transformers for text.pdf
    • NLP-10-BERT and T5 models.pdfNLP-10-BERT and T5 models.pdf
    • NLP-11-Generative LLMs.pdfNLP-11-Generative LLMs.pdf
    • NLP-12 Neural information retrieval.pdfNLP-12 Neural information retrieval.pdf
    • NLP-13-POS tagging, DP and NER.pdfNLP-13-POS tagging, DP and NER.pdf
    • NLP-14-Word senses and disambiguation.pdfNLP-14-Word senses and disambiguation.pdf
    • NLP-15-Affective computing.pdfNLP-15-Affective computing.pdf
    • NLP-16-Machine translation.pdfNLP-16-Machine translation.pdf
    • NLP-17-Summarization and QA.pdfNLP-17-Summarization and QA.pdf
    • NLP-18-Kaja Dobrovoljc - Universal Dependency Treebanks.pdfNLP-18-Kaja Dobrovoljc - Universal Dependency Treebanks.pdf
    • Simon krek - Jezikoslovne dileme pri strojnem procesiranju slovenščine.pdfSimon krek - Jezikoslovne dileme pri strojnem procesiranju slovenščine.pdf
◄ A sample of written exam questions 2022
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