Using Conditional Probability for Discovering Semantic Relationships be-tween Named Entities in Cultural Heritage Data
Using Conditional Probability for Discovering Semantic Relationships be-tween Named Entities in Cultural Heritage Data
Author(s): Jordan StoikovSubject(s): Library and Information Science, Information Architecture, Library operations and management, Electronic information storage and retrieval
Published by: Институт по математика и информатика - Българска академия на науките
Keywords: Word Embedding; Conditional Probability; Cultural Heritage; Word Vector; Semantic Relationship.
Summary/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.
Journal: Digital Presentation and Preservation of Cultural and Scientific Heritage
- Issue Year: 2021
- Issue No: XI
- Page Range: 77-88
- Page Count: 12
- Language: English
