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A Practical Guide to Hybrid Natural Language Processing [[electronic resource] ] : Combining Neural Models and Knowledge Graphs for NLP / / by Jose Manuel Gomez-Perez, Ronald Denaux, Andres Garcia-Silva
A Practical Guide to Hybrid Natural Language Processing [[electronic resource] ] : Combining Neural Models and Knowledge Graphs for NLP / / by Jose Manuel Gomez-Perez, Ronald Denaux, Andres Garcia-Silva
Autore Gomez-Perez Jose Manuel
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (281 pages)
Disciplina 006.35
Soggetto topico Artificial intelligence
Application software
Natural language processing (Computer science)
Artificial Intelligence
Information Systems Applications (incl. Internet)
Natural Language Processing (NLP)
ISBN 3-030-44830-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996465343203316
Gomez-Perez Jose Manuel  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
A Practical Guide to Hybrid Natural Language Processing : Combining Neural Models and Knowledge Graphs for NLP / / by Jose Manuel Gomez-Perez, Ronald Denaux, Andres Garcia-Silva
A Practical Guide to Hybrid Natural Language Processing : Combining Neural Models and Knowledge Graphs for NLP / / by Jose Manuel Gomez-Perez, Ronald Denaux, Andres Garcia-Silva
Autore Gomez-Perez Jose Manuel
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (281 pages)
Disciplina 006.35
Soggetto topico Artificial intelligence
Application software
Natural language processing (Computer science)
Artificial Intelligence
Information Systems Applications (incl. Internet)
Natural Language Processing (NLP)
ISBN 3-030-44830-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910410034803321
Gomez-Perez Jose Manuel  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui