Terminology extraction

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Related lectures (32)

Semantic Web: Modeling and Ontologies

Explores the Semantic Web, database schemas, XML data model, and ontologies.

Document Classification

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

Introduction to Modern Natural Language Processing

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

CloudCompare: Basic Features and Orthophoto Extraction

Covers the basics of CloudCompare, including orthophoto extraction from point clouds.

Embedding Models: Concepts and Retrieval

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

Text Understanding

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

Knowledge Inference: Entity Disambiguation and Graph Embeddings

Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.

Classical Language Models: Foundations and Applications

Introduces classical language models, their applications, and foundational concepts like count-based modeling and evaluation metrics.

Document Structure: Describing Content

Explores the complexity of describing document content and the development of new open standards to address this issue, covering challenges in modeling document structure and content.

Functional Brain Imaging: Signal Processing

Covers neuroimaging techniques, brain structure, MRI basics, and big data in brain research.

Knowledge Inference for Graphs

Explores knowledge inference for graphs, discussing label propagation, optimization objectives, and probabilistic behavior.

Introduction to Data Science

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

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