Lectures related to Digital Humanities Lab: Practices

Explores knowledge extraction from text, covering key concepts like keyphrase extraction and named entity recognition.

Introduction to Modern Natural Language Processing

Introduces the course on Modern Natural Language Processing, covering its significance, applications, challenges, and advancements in technology.

Taxonomy Induction: Learning Concepts and Relationships

Explores taxonomy induction, learning relationships and concepts from documents.

Text Understanding

Explores Text Understanding, focusing on Named Entities, Information Extraction, and Machine Reading methods.

Gitlab Agent for Kubernetes (`agentk`)

Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.

Entity & Information Extraction

Explores information extraction using classifiers, features, and syntactic analysis.

Fundamental Groups

Explores fundamental groups, homotopy classes, and coverings in connected manifolds.

Spatial Configuration and Teaching

Explores the impact of spatial configuration on teaching interactions in classrooms, analyzing seating arrangements and teacher movements.

Natural Language Processing Tools

Introduces NLP tools like Hugging Face and PyTorch Lightning for text tasks and evaluation.

Sustainable Development Goals: Individual and Collective Actions

Emphasizes the role of individual and collective actions in achieving sustainability through the Sustainable Development Goals and the successes of the Millennium Development Goals.

Cloning Projects Analysis

Explores the use of ApE for planning and analyzing cloning projects.

Semantic Web & Information Extraction Log in to Mediaspace to watch this video

Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.

Introduction to Data Science Log in to Mediaspace to watch this video

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Information Extraction: Algorithms and Techniques Log in to Mediaspace to watch this video

Explores algorithms and techniques for information extraction, including Viterbi algorithm, named entities recognition, and distant supervision.

Information Extraction: Methods and Applications Log in to Mediaspace to watch this video

Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.

Natural Language Processing: A Primer Log in to Mediaspace to watch this video

Introduces Natural Language Processing (NLP) and its applications, covering tokenization, machine learning, sentiment analysis, and Swiss NLP applications.

Taxonomy Induction: Learning Hierarchical Structures Log in to Mediaspace to watch this video

Explores taxonomy induction, learning terms and relationships to construct hierarchical structures.

Information Extraction: Approaches and Techniques Log in to Mediaspace to watch this video

Covers Information Extraction approaches, including hand-written patterns and supervised learning.

Document Classification Log in to Mediaspace to watch this video

Explores document classification methods, including Naïve Bayes and word embeddings.

Matrix Factorization: Information Extraction Log in to Mediaspace to watch this video

Explores matrix factorization for information extraction, Bayesian ranking, and relation embeddings.