Using Conditional Probability for Discovering Semantic Relationships between Named Entities in Cultural Heritage Data

Abstract

This paper introduces a method for extracting information from various cultural heritage data sources using word embedding with feature extraction from the sentence and structured representation of the sentence. The focus is on discovering the named entities’ relations including part of speech tags and positons tags by the means of conditional probability.