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Natural Language Processing and Information Systems

24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Elisabeth Métais

    1. Conservatoire National des Arts et Métiers, Paris, France

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  2. Farid Meziane

    1. University of Salford, Salford, UK

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  3. Sunil Vadera

    1. University of Salford, Salford, UK

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  4. Vijayan Sugumaran

    1. Oakland University, Rochester, USA

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  5. Mohamad Saraee

    1. CSE, University of Salford, Salford, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11608)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: NLDB 2019.

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About this book

This book constitutes the refereed proceedings of the 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, held in Salford, UK, in June 2019.
The 21 full papers and 16 short papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: argumentation mining and applications; deep learning, neural languages and NLP; social media and web analytics; question answering; corpus analysis; semantic web, open linked data, and ontologies; natural language in conceptual modeling; natural language and ubiquitous computing; and big data and business intelligence.

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Table of contents (37 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Full Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Deep Neural Network Models for Paraphrased Text Classification in the Arabic Language

      • Adnen Mahmoud, Mounir Zrigui
      Pages 3-16

    3. Model Answer Generation for Word-Type Questions in Elementary Mathematics

      • Sakthithasan Rajpirathap, Surangika Ranathunga
      Pages 17-28

    4. Learning Mobile App Embeddings Using Multi-task Neural Network

      • Ahsaas Bajaj, Shubham Krishna, Hemant Tiwari, Vanraj Vala
      Pages 29-40

    5. Understanding User Query Intent and Target Terms in Legal Domain

      • Sachin Kumar, Regina Politi
      Pages 41-53

    6. Bidirectional Transformer Based Multi-Task Learning for Natural Language Understanding

      • Suraj Tripathi, Chirag Singh, Abhay Kumar, Chandan Pandey, Nishant Jain
      Pages 54-65

    7. LSVS: Link Specification Verbalization and Summarization

      • Abdullah Fathi Ahmed, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
      Pages 66-78

    8. Deceptive Reviews Detection Using Deep Learning Techniques

      • Nishant Jain, Abhay Kumar, Shekhar Singh, Chirag Singh, Suraj Tripathi
      Pages 79-91

    9. JASs: Joint Attention Strategies for Paraphrase Generation

      • Isaac K. E. Ampomah, Sally McClean, Zhiwei Lin, Glenn Hawe
      Pages 92-104

    10. Structure-Based Supervised Term Weighting and Regularization for Text Classification

      • Niloofer Shanavas, Hui Wang, Zhiwei Lin, Glenn Hawe
      Pages 105-117

    11. Gated Convolutional Neural Networks for Domain Adaptation

      • Avinash Madasu, Vijjini Anvesh Rao
      Pages 118-130

    12. A Keyword Search Approach for Semantic Web Data

      • Mohamad Rihany, Zoubida Kedad, Stéphane Lopes
      Pages 131-143

    13. Intent Based Association Modeling for E-commerce

      • Sailesh Kumar Sathish, Anish Patankar
      Pages 144-156

    14. From Web Crawled Text to Project Descriptions: Automatic Summarizing of Social Innovation Projects

      • Nikola Milošević, Dimitar Marinov, Abdullah Gök, Goran Nenadić
      Pages 157-169

    15. Cross-Corpus Training with CNN to Classify Imbalanced Biomedical Relation Data

      • S. S. Deepika, M. Saranya, T. V. Geetha
      Pages 170-181

    16. Discourse-Driven Argument Mining in Scientific Abstracts

      • Pablo Accuosto, Horacio Saggion
      Pages 182-194

    17. TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes

      • Tushaar Gangavarapu, Aditya Jayasimha, Gokul S. Krishnan, Sowmya Kamath S.
      Pages 195-207

    18. Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer’s Disease Patients

      • Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais
      Pages 208-219

    19. Deep Genetic Algorithm-Based Voice Pathology Diagnostic System

      • Rania M. Ghoniem
      Pages 220-233
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Other volumes

  1. Natural Language Processing and Information Systems

Editors and Affiliations

  • Conservatoire National des Arts et Métiers, Paris, France

    Elisabeth Métais

  • University of Salford, Salford, UK

    Farid Meziane, Sunil Vadera

  • Oakland University, Rochester, USA

    Vijayan Sugumaran

  • CSE, University of Salford, Salford, UK

    Mohamad Saraee

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