May 18, 2018 · The present work describes a concept-based text analysis approach, based on the use of a knowledge graph for structuring the texts content and a ...
The prior knowledge indicates pairs of documents that known to belong to the same cluster. Then, the prior knowledge is transformed into a set of constraints.
A Concept-Based Text Analysis Approach Using Knowledge Graph · List of references · Publications that cite this publication.
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What are the concepts of knowledge graph?
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How to build a knowledge graph from text?
What is knowledge graph NLP?
It is a challenge for us to develop NLP applications because computers need structured data, but human speech is unstructured and often ambiguous in nature.
Knowledge graphs are a collection of interlinked descriptions of entities that put data into context and enable data analytics & sharing.
Defining a novel representation called the Concept Frame Graph (CFG), we propose a learning algorithm for constructing a CFG knowledge base from text documents.
Jan 15, 2019 · In this paper, we propose a Knowledge Graph Embedding with Concepts (KEC) model for representation learning of knowledge graphs with enhanced concept graph ...
Abstract: To resolve the semantic ambiguity in texts, we propose a model, which innovatively combines a knowledge graph with an.
May 24, 2022 · In this article, we see how to implement a pipeline for extracting a Knowledge Base from texts or online articles.
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