International Conference on NLP & Artificial Intelligence Techniques (NLAI 2020)

December 19 ~ 20, 2020, Sydney, Australia

SCOPE

International Conference on NLP & Artificial Intelligence Techniques (NLAI 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of NLP & Artificial Intelligence Techniques. The Conference looks for significant contributions to all major fields of NLP and Artificial Intelligence in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms

PAPER SUBMISSION

SAMPLE TEMPLATE

TOPICS OF INTEREST

NLP

  • Phonology, Morphology

  • Chunking/Shallow Parsing

  • Parsing/Grammatical Formalisms

  • Semantic Processing

  • Lexical Semantics

  • Ontology

  • Linguistic Resources

  • Statistical and Knowledge based Methods

  • POS Tagging

  • Discourse

  • Paraphrasing/Entailment/Generation

  • Machine Translation

  • Information Retrieval

  • Text Mining

  • Information Extraction

  • Question Answering

  • Dialog Systems

  • Spoken Language Processing

  • Speech Recognition and Synthesis

  • Computational Linguistics& NLP

  • Information Retrieval and AI

  • Semantic & NLP

  • NLP & AI

Artificial Intelligence

  • Adaptive systems

  • AI Algorithms

  • Artificial Intelligence and Cloud Computing

  • Artificial Intelligence and Internet of Things

  • Artificial Intelligence Cyber Security

  • Artificial Intelligence tools & Applications

  • Automated Machine Learning

  • Bioinformatics, Biometrics

  • Business Intelligence

  • Data and Web mining

  • Deep Learning

  • Ensemble Method

  • Evolutionary Computation

  • Financial Engineering

  • Fuzzy set theory, Fuzzy control and System

  • Geo-informatics

  • Hybrid and Nonlinear system

  • Inductive Learning

  • Information Fusion

  • Information Retrieval

  • Intelligent Agent

  • Intelligent and Knowledge based system

  • Intelligent Control

  • Logistics

  • Machine Learning Tools

  • Media computing

  • Neural network and support vector machine

  • Pattern Recognition

  • Rough and fuzzy rough set

  • Visual information processing

COURTESY

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library. More....

Paper Submission

Authors are invited to submit papers through the conference Submission System by December 05, 2020 (Final Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).|
Selected papers from NLAI 2020, after further revisions, will be published in the special issue of the following journals

SPEAKERS

Björn Friedrich

Carl von Ossietzky University of Oldenburg, Germany

Qu Hongyan

Xi’an University of Posts and Telecommunications, China

Shi Linkai

Xi’an University of Posts and Telecommunications, China

Morio Yamauchi

Kyushu Institute of Technology, Japan

Zurina Mohd Hanapi

Universiti Putra Malayisa, Malaysia

Maharazu Mamman

Federal College of Education, Nigeria

Ruben Ventura

Independent Security Researcher, Mexico

Karlo Koscevic

University of Zagreb,

Croatia

Mikaël A. Mousse

Université de Parakou,

Bénin

Xiang-Song Zhang

Xi’an Shiyou University,

China

Mahabaleshwar Kabbur

REVA University,

India

Seyed Mohssen Ghafari

Faethm AI Company,

Australia

Iván Humberto Fuentes Chab

Instituto Tecnológico Superior de Escárcega, Mexico




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