Synopses & Reviews
Synopsis
Part I: Preliminaries and Building Blocks.- Hybrid Natural Language Processing: An Introduction.- Word, Sense, and Graph Embeddings.- UnderstandingWord Embeddings and Language Models.- Capturing Meaning from Text asWord Embeddings.- Capturing Knowledge Graph Embeddings.- Part II: Combining Neural Architectures and Knowledge Graphs.- Building Hybrid Representations from Text Corpora, Knowledge Graphs, and Language Models.- Quality Evaluation.- Capturing Lexical, Grammatical, and Semantic Information with Vecsigrafo.- Aligning Embedding Spaces and Applications for Knowledge Graphs.- Part III: Applications.- A Hybrid Approach to Disinformation Analysis.- Jointly Learning Text and Visual Information in the Scientific Domain.- Looking into the Future of Natural Language Processing.