Course : Natural Language Processing (MSc CS & MSc ISDS)

Course code : INF210

Natural Language Processing (MSc CS & MSc ISDS)

INF210  -  Ion Androutsopoulos

Documents
Root directory slides_2025_26   The slides of 2025-26. Slides updated for 2026-27 will be gradually removed.
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nlp_slides_part05_nlp_with_cnns.pdf
Quick background on Convolutional Neural Networks (CNNs) in Computer Vision. Text processing with CNNs. Image to text generation with CNN encoders and RNN decoders.
2.31 MB 11/12/25, 3:16 PM
nlp_slides_part06_nlp_with_transformers.pdf
Transformer encoders, BERT. Encoder-decoder Transformers, BART, T5. Decoder-only Transformers, GPT-x. Prompting, supervised fine-tuning, RLHF, DPO. Parameter efficient training, LoRA. Retrieval augmented generation (RAG), LLMs with tools, agents, ReACT. Adding vision to LLMs, LLaVA, InstructBLIP. Optional slides: Data augmentation for NLP.
6.39 MB 12/11/25, 12:11 PM
nlp_slides_part07_speech_recognition.pdf
Introduction to automatic speech recognition (ASR). Encoding speech frames with pre-trained Transformers, wav2vec, HuBERT. ASR models: encoder/decoder models, encoder-only models. ASR evaluation measures. Optional older material: MFCC vectors, HMM models.
2.82 MB 12/10/25, 12:44 PM
nlp_slides_part08_dialogue_systems.pdf
Introduction to spoken and written dialog systems. Systems that use rules, information retrieval, automata, grammars, frames, deep learning, pre-trained neural language models.
2.09 MB 12/17/25, 6:07 PM