Sign for Notice Everyday    Sign Up| Sign In| Link| English|

Our Sponsors

    Receive Latest News

    Feedburner
    Share Us


    MLNLP 2020 - International Conference on Machine Learning Techniques and NLP (MLNLP 2020)

    View: 950

    Website https://mlnlp.org/ | Want to Edit it Edit Freely

    Category Artificial Intelligence and Recommender systems, Chunking / Shallow Parsing Data, Web, and Text mining ,Dialog Systems Discourse Hybrid Machine Learning Systems for NLP , Information Retrieval & Extraction , Lexical Semantics, Linguistic Resources , Machine Learning models and applications ,Machine Translation Named entity recognition Neural Networks / Deep Learning NLP and AI , NLP and Computational Linguistics NLP and Information Retrieval , NLP and Machine Learning ,Ontology , Paraphrasing / Entailment / Generation Parsing/Grammatical Formalisms Phonology, Morphology ,POS Tagging Question Answering Semantic Processing , Speech Recognition and Synthesis , Spoken Language Processing, Statistical and Knowledge based Methods ,Text Mining ,Word sense disambiguation

    Deadline: October 10, 2020 | Date: October 24, 2020-October 25, 2020

    Venue/Country: Sydney,Australia, Australia

    Updated: 2020-10-05 16:19:57 (GMT+9)

    Call For Papers - CFP

    October 24-25, 2020, Sydney, Australia

    https://mlnlp.org/

    SCOPE

    International Conference on Machine Learning Techniques and NLP (MLNLP 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and NLP.

    TOPICS OF INTEREST

    Artificial Intelligence and Recommender systems

    Chunking / Shallow Parsing

    Data, Web, and Text mining

    Dialog Systems

    Discourse

    Hybrid Machine Learning Systems for NLP

    Information Retrieval & Extraction

    Lexical Semantics

    Linguistic Resources

    Machine Learning models and applications

    Machine Translation

    Named entity recognition

    Neural Networks / Deep Learning

    NLP and AI

    NLP and Computational Linguistics

    NLP and Information Retrieval

    NLP and Machine Learning

    Ontology

    Paraphrasing / Entailment / Generation

    Parsing/Grammatical Formalisms

    Phonology, Morphology

    POS Tagging

    Question Answering

    Semantic Processing

    Speech Recognition and Synthesis

    Spoken Language Processing

    Statistical and Knowledge based Methods

    Text Mining

    Word sense disambiguation

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by October 10, 2020. 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 MLNLP 2020, after further revisions, will be published in the special issue of the following journals

    International Journal on Natural Language Computing (IJNLC)

    International Journal of Web & Semantic Technology (IJWesT)

    Machine Learning and Applications: An International Journal (MLAIJ)

    Important Dates

    Submission Deadline : October 10, 2020

    Authors Notification : October 17, 2020

    Registration & Camera-Ready Paper Due :October 21, 2020

    Contact Us

    Here's where you can reach us : mlnlpatmlnlp.org or mlnlpconferenceatyahoo.com


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.