Taxonomy Induction: Learning Concepts and Relationships

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 2 of 4

Knowledge Modeling: Introduction

Explores manual creation of knowledge bases and challenges in knowledge extraction from text.

Natural Language Processing: A Primer

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

Information Extraction: Bootstrapping

Explores Information Extraction approaches like hand-written patterns and distant supervision, with examples of entity pairs matching patterns.

Introduction to Modern Natural Language Processing

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

Matrix Factorization: Information Extraction

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

Embedding Models: Concepts and Retrieval

Covers embedding models for document retrieval, latent semantic indexing, SVD, and topic models.

Document Classification

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

Foundations of Information Systems: Course Overview and Key Concepts

Introduces the course on information systems, covering its structure, objectives, and foundational concepts essential for understanding data management and decision-making.

Document Structure

Explores regulated representation and the creation of coherent fictional spaces through annotations.

Introduction to Data Science

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