Natural Language Processing in Healthcare: A Special Focus on Low Resource Language

Motivation and Scope of the Book

As natural language processing (NLP) gets more and more traction towards health care applications, there is a growing demand for developing solutions that can analyze, understand, and support humans. The case is more challenging for the low-resource languages as without a special focus on these languages it is hard for any NLP based health care solution to reach the majority of the population who could obtain the benefit. The goal of this book is to collect current advances and scenarios of NLP based solutions for health care focusing on low resource languages.

Timeline

The submission guidelines and other detailed information can be found on the book website.

• Full Chapter Abstract Submission:                       31.10.2020 (extended)
• Abstract Acceptance/Rejection Notification:        30.11.2020
• Full Chapter Submission:                                     30.01.2021
• First Review Notification:                                      20.03.2021
• Revised Version Notification:                               20..04.2021
• Final Acceptance/Rejection Notification:              15.05.2021
• Camera Ready Chapter Submission:                    15.06.2021

List of Topics

We invite submissions of high-quality, original chapters addressing both theoretical and practical aspects, including their ethical and social implications of NLP in healthcare. The Book aims to cover (but not limited) to the following topics:

• Clinical NLP using Low Resource Settings 
• Ethical considerations in Clinical NLP
• Multilingual Speech Processing in Healthcare
• NLP Applications in Healthcare
• Visual Question Answering (VQA) using Medical Images
• Topic Modelling for Clinical Reports
• Automatic Speech Recognition System for Patient
• Machine Translation in Clinical Practice
• Fake News Detection about COVID19
• Healthcare Text Analytics using NLP
• Text summarization in Healthcare
• Digital Healthcare using NLP
• Clinical Text Mining

Submission Guidelines

Authors should send their abstracts and chapters/articles through easy-chair only.

• Abstract: The abstract must contain 300-400 words including title, chapter outline/content and author (s) affiliation.
• Chapter/article: Each chapter/article must contain 15-20 pages with approximately 6000-8000 words (contact the editors for additional page approval). Each chapter/article must be compliant with Alt Text format. In case need more details, please contact the editors.  

Editors

• Assoc. Prof. Ondřej Bojar (Charles University, Czech Republic)
• Assoc. Prof. Satya Ranjan Dash (KIIT University, India)
• Dr. Shantipriya Parida (Idiap Research Institute, Switzerland)
• Prof. Esaú Villatoro-Tello (UAM-C in Mexico City and Idiap Research Institute, Switzerland)
• Biswa Ranjan Acharya (KIIT University, India)

Publication

The edited book will be published by CRC Press (Taylor & Francis Group)

Contact

All questions about submissions should be emailed to nlphealthcare2020@googlegroups.com