Fwd: TALLIP Special Issue CFP on Multi-Lingual Representation of Natural Language Processing for Low Resource Asian Language Processing Systems

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Vinod Chandra S S

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Dec 16, 2021, 8:38:36 PM12/16/21
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From: Imed Zitouni, ACM TALLIP Editor-in-Chief (do not reply) <call-fo...@hq.acm.org>
Date: Thu, Dec 16, 2021 at 10:33 PM
Subject: TALLIP Special Issue CFP on Multi-Lingual Representation of Natural Language Processing for Low Resource Asian Language Processing Systems
To: <vinodch...@gmail.com>


      ACM Digital Library
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CALL FOR PAPERS

ACM Transactions on Asian and Low-resource Language Information Processing
Special Issue on Multi-Lingual Representation of Natural Language Processing for Low Resource Asian Language Processing Systems

Guest Editors
Dr. Elena Verdu, Universidad Internacional de la Rioja Logroño
Dr. Yuri Vanessa Nieto, Universidad Nacional Abierta y a Distancia UNAD
Dr. Nasir Saleem, Faculty of Engineering and Technology, Gomal University

journal cover imageNLP needs enormous volumes of data which is impossible in a low-resource setting. Hence, it is a challenge, and research is being carried out using novel methods and structures to train the NLP systems with limited resources. But the demand for such techniques exists in Asian language processing systems with low resources. In this context, this special issue aims to bring out the multi-lingual representation of NLP for low-resource Asian languages.

Potential topics of interest include but are not limited to:

  • Novel machine learning assisted multi-lingual NLP models for low resource Asian languages
  • Deep transfer learning for multi-lingual representation of NLP
  • Role of neural networks in multi-lingual language processing for low-resource Asian languages
  • Multilingual text beyond translations for creating NLP models for low-resource languages
  • Learning representation of low-resource languages using multi-lingual supervision
  • Novel multi-lingual architectures and algorithms for low-resource natural language processing
  • Artificial intelligence assisted cross model language processing techniques for Asian languages
  • Effective ways of predicting missing typological features from multilingual NLP models
  • Multi-lingual corpus mining and advances
  • cost-efficient natural language annotations for low resource Asian languages
  • Machine learning for explainability and interpretability in interpretation of multi-lingual NLP
  • Multi-lingual representation and deep learning

Click here for the full Call for Papers and submission instructions.

Important Dates
Open for submissions: February 1, 2022
Submissions deadline: May 30, 2022
First-round review decisions: August 25, 2022
Deadline for revision submissions: November 11,2022
Notification of final decisions: February 23, 2023
Tentative publication: mid-2023

For questions and further information, please write to: Dr. Elena Verdu.

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Vinod Chandra S S
Professor, Department of Computer Science 
University of Kerala, Thiruvananthapuram - 695581 INDIA
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