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Graph learning and network science for natural language processing / Edited by Muskan Garg, Amit Kumar Gupta, and Rajesh Prasad.

Colaborador(es): Tipo de material: TextoDetalles de publicación: Boca Raton, FL : CRC Press, 2023.Edición: 1st edDescripción: xv, 255 pISBN:
  • 9781032224572
Tema(s): Clasificación CDD:
  • 004.21 G766
Contenidos:
Graph of words model for natural language processing (Sharayu Mirasdar, Mangesh Bedekar) -- Application of NLP using graph approaches (Narendra Singh Yadav ... [et al.] -- Graph-based extractive approach for english and hindi (Rekha Jain ... [et al.] -- Graph embeddings for natural language proessing (Jyoti Gavhane, Rajesh Prasad, and Rajeev Kumar) -- Natural language processing with graph and machine learning algorithms-based large-scale text document summarization and its applications (Shaikh Ashfaq Amir ... [et al.] -- Ontologyk and knowledge graphs for semantic analysis in natural language processing (Ujwala Bharambe, Chhaya Narvekar, and Prakash Andugula) -- Ontology and knowledge graphs for natural language processing (Jayashree Prasad ... [et al.] -- Perfect coloring by HB color matrix algorith method (A. A. Bhange, H. R. Bhapkar) -- Cross-lingual word sense disambiguation using multilingual co-occurence graphs (Neha Janu ... [et al.] -- Study of current learning techniques for natural language processing for early detection of lung cancer (Vanita D. Jadhav, Lalit V. Patil) -- A critical analysis of graph topologies for natural language processing and their applications (Meenakshi Nawal ... [et al.] -- Graph-based text document extractive summarization (Sheetal Sonawane) -- Applicaions of graphical natural language processing (S. V. Gayetri Devi, T. Nalini, and K. G. S. Venkatesan) -- Analysis of medical images using machine learning techniques (Nikita Jain ... [et al.].
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LIBRO MISCELANEA BIBLIOTECA XIMENA SANCHEZ STAFORELLI Estantería Abierta 004.21 G766 (Navegar estantería(Abre debajo)) c.1 Piso 2 Prestado Entregado: abril/Ana. 027/2026 16.09.2026 UTEML73006355

Graph of words model for natural language processing (Sharayu Mirasdar, Mangesh Bedekar) -- Application of NLP using graph approaches (Narendra Singh Yadav ... [et al.] -- Graph-based extractive approach for english and hindi (Rekha Jain ... [et al.] -- Graph embeddings for natural language proessing (Jyoti Gavhane, Rajesh Prasad, and Rajeev Kumar) -- Natural language processing with graph and machine learning algorithms-based large-scale text document summarization and its applications (Shaikh Ashfaq Amir ... [et al.] -- Ontologyk and knowledge graphs for semantic analysis in natural language processing (Ujwala Bharambe, Chhaya Narvekar, and Prakash Andugula) -- Ontology and knowledge graphs for natural language processing (Jayashree Prasad ... [et al.] -- Perfect coloring by HB color matrix algorith method (A. A. Bhange, H. R. Bhapkar) -- Cross-lingual word sense disambiguation using multilingual co-occurence graphs (Neha Janu ... [et al.] -- Study of current learning techniques for natural language processing for early detection of lung cancer (Vanita D. Jadhav, Lalit V. Patil) -- A critical analysis of graph topologies for natural language processing and their applications (Meenakshi Nawal ... [et al.] -- Graph-based text document extractive summarization (Sheetal Sonawane) -- Applicaions of graphical natural language processing (S. V. Gayetri Devi, T. Nalini, and K. G. S. Venkatesan) -- Analysis of medical images using machine learning techniques (Nikita Jain ... [et al.].

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