CFP: Frontiers in Artificial Intelligence - Special Topic on Natural Language Processing for Low-resource Languages and Domains

[Rishemjit Kaur]

(Apologies for cross-posting)

Dear Colleagues,

We are pleased to announce that the submission is open for a new research topic in   Frontiers in Artificial Intelligence -  Natural Language Processing for Low-resource Languages and Domains.

Deadlines: 
Abstract submission: 01 March 2022
Manuscript submission: 01 May 2022

We welcome any type of contributions related to low resource languages and domains. These include, but are not limited to:

• NLP Techniques for low-resource languages or domains
  • Domain adaptation
  • Transfer learning
  • Zero-shot and few-shot learning
  • Meta learning
  • Knowledge distillation
  • Multilingual and cross-lingual learning
  • Data augmentation
• Dataset and Evaluation for low-resource languages or domains
  • New benchmarks
  • Evaluation Mechanism
  • Multimodal resources Language resources (multilingual/monolingual, annotated/unannotated)
• NLP Tasks for low-resource languages or domains
  • Bias, fairness and ethics in NLP
  • Dialog and interactive systems
  • Discourse and pragmatics
  • Document analysis including text categorization, topic models, and retrieval
  • Natural language generation
  • Information extraction, text mining, and question answering
  • Language-inclusive multimodal integration
  • Machine translation
  • Multilinguality
  • Phonology, morphology, and word segmentation
  • Semantics
  • Text classification
  • Fake news and hate-speech detection
  • Sentiment analysis and opinion mining
  • Social media analysis: Twitter, blogs, discussion forums, and other social media
  • Speech, prosody, and spoken dialog
  • Summarization
  • Tagging, chunking, syntax, and parsing

For more information, visit https://www.frontiersin.org/research-topics/28809/natural-language-processing-for-low-resource-languages-and-domains

Regards,
The topic editors
Matthew Purver, Surangika Ranathunga, Ravi Shekhar, Rishemjit Kaur, En-Shiun Annie Lee

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Rishemjit Kaur