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Call For Papers

SCOPE of MLNLP 2021

Contributed papers are solicited describing original works in Information System and Network Security. Topics and technical areas of interest include but are not limited to the following:

 

Machine Learning

Deep and Reinforcement Learning
Machine Learning for Network Slicing Optimization
Machine Learning for 5G system
Machine Learning for User Behavior Prediction
New Innovative Machine Learning Methods
Optimization of Machine Learning Methods
Performance Analysis of Machine Learning Algorithms
Experimental evaluations of machine learning
Machine learning for multimedia
Machine learning for Internet of Things
Machine learning for security and protection
Distributed and decentralized machine learning algorithms
Intelligent cloud-support communications
Intelligent ressource allocation
Intelligent energy-aware/green communications
Intelligent software defined networks
Intelligent cooperative networks
Intelligent positioning and navigation systems
Intelligent wireless communications
Intelligent wireless sensor networks
Intelligent underwater sensor networks

 

Natural Language Processing

Phonetics, phonology, and morphology
Syntax, semantics, discourse, pragmatics, dialogue, and lexicon
Mathematical, statistical, machine learning and deep learning models
Word and sentence representation
Language resources and corpora
Electronic dictionaries, terminologies and ontologies
Linked data
POS tagging
Semantic role labelling
Word-sense disambiguation
Multiword expressions
Textual entailment
Anaphora resolution
Language generation
Speech recognition
Text-to-speech synthesis
Multilingual NLP
Knowledge acquisition
Information retrieval
Text categorisation
Information extraction
Text summarisation
Terminology extraction
Question answering
Opinion mining and sentiment analysis
Stance recognition
Dialogue systems
Computer-aided language learning
NLP for biomedical texts and healthcare
NLP for the Semantic web