Natural Language Processing
Jacob Eisenstein
Comprehensive NLP textbook covering text classification, sequence labeling, parsing, semantics, information extraction, machine translation, and dialogue systems with mathematical rigor.
Loading the book...
Keep reading
-
Next in this topic
Foundation Models for Natural Language ProcessingOpen access Springer textbook on pre-trained language models. Covers BERT, GPT, T5, multimodal models, and applications in question answering, summarization, and dialogue systems.
Verified PDF · Secure download - Programming Computer Vision with Python
Hands-on guide to computer vision using Python with PIL, NumPy, and SciPy. Covers image processing, feature detection, camera models, panorama creation, object recognition, and 3D reconstruction.
Verified PDF · Secure download - Deep Learning in Computer Vision: Principles and Applications
Academic collection covering CNN optimization, object detection (YOLO), semantic segmentation, medical imaging, aerial imagery, and face recognition with deep learning approaches.
Verified PDF · Secure download - Artificial Intelligence
A People's Guide to AI - accessible introduction covering everyday AI, algorithms, machine learning, and equity. Includes hands-on workbook activities for non-technical audiences.
Verified PDF · Secure download - Artificial intelligence and Privacy
Norwegian Data Protection Authority guide on AI and GDPR compliance. Covers machine learning basics, algorithmic bias, data minimisation, and privacy-friendly AI development recommendations.
Verified PDF · Secure download