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Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.
Delves into the evolution of environmental thinking in architecture, emphasizing interconnectedness, multiple scales in design decisions, and the significance of thresholds.
Delves into generative modelling in architecture, emphasizing the importance of understanding the history of shapes and the ethical implications of preserving asymmetries.
