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