Matrix Factorization: Linking Text to Knowledge Bases

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Neuro-symbolic Representations: Commonsense Knowledge & Reasoning

Delves into neuro-symbolic representations for commonsense knowledge and reasoning in natural language processing applications.

Semantic Web: Knowledge Graphs

Explores knowledge representation, information extraction, and the Semantic Web vision, emphasizing standardization, mapping, and ontologies in structuring data.

Document Classification

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

Semantic Web Resources

Explores popular ontologies and knowledge bases like WordNet, WikiData, Google Knowledge Graph, and Schema.org, as well as Linked Open Data sets.

Coreference Resolution

Delves into coreference resolution, discussing challenges, advancements, and evaluation methods.

Entity Disambiguation and Link Prediction

Explores entity disambiguation, linking text to knowledge bases, and link prediction in knowledge graphs with examples from Wikipedia.

Information Extraction: Approaches and Techniques

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

Semantic Web: Ontologies and RDF Modeling

Covers the creation and encoding of ontologies, modeling RDF statements, syntax, and classification.

Information Extraction: Bootstrapping

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

Knowledge Representation: Semantics and Data Structures

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.