Información de la conferencia
MLNLP' 2023: International Conference on Machine Learning Techniques and NLP
https://csity2023.org/mlnlp/indexDía de Entrega: |
2023-09-02 Extended |
Fecha de Notificación: |
2023-09-09 |
Fecha de Conferencia: |
2023-09-16 |
Ubicación: |
Copenhagen, Denmark |
Años: |
4 |
Vistas: 14358 Seguidores: 3 Asistentes: 2
Solicitud de Artículos
4th International Conference on Machine Learning Techniques and NLP (MLNLP 2023) September 16 ~ 17, 2023, Copenhagen, Denmark https://csity2023.org/mlnlp/index Scope &Topics 4th International Conference on Machine Learning Techniques and NLP (MLNLP 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and NLP. 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. Topics of interest include, but are not limited to the following • Artificial Intelligence and Recommender systems • Chunking / Shallow Parsing • Data, Web, and Text mining • Dialog Systems • Discourse • Hybrid Machine Learning Systems for NLP • Lexical Semantics • Information Retrieval & Extraction • 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 August 26, 2023. 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 2023, after further revisions, will be published in the special issues 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) • Advances in Vision Computing: An International Journal (AVC) Important Dates Third Batch : (Submissions after August 06, 2023) • Submission Deadline : September 02, 2023(Final Call) • Authors Notification : September 10, 2023 • Registration & camera - Ready Paper Due : September 13, 2023 Contact Us Here's where you can reach us : mlnlp@csity2023.org or mlnlpconference@yahoo.com For other details: https://csity2023.org/mlnlp/index Paper Submission Link: https://csity2023.org/submission/index.php
Última Actualización Por Richert Kevin en 2023-08-28
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Revistas Relacionadas
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Publications | MDPI | 2304-6775 | ||
Cryptography and Communications | 1.200 | Springer | 1936-2447 | |
Molecular Simulation | 1.900 | Taylor & Francis | 0892-7022 | |
Cybernetics and Systems Analysis | 0.500 | Springer | 1060-0396 | |
Inverse Problems in Science and Engineering | 1.100 | Taylor & Francis | 1741-5977 | |
Materials Chemistry and Physics | 4.300 | Elsevier | 0254-0584 | |
c | IEEE Transactions on Big Data | 5.7 | IEEE | 2332-7790 |
Molecular Diversity | 3.900 | Springer | 1381-1991 | |
Journal of the Association for Information Science and Technology | 2.800 | John Wiley & Sons | 2330-1643 |
Nombre Completo | Factor de Impacto | Editor |
---|---|---|
Publications | MDPI | |
Cryptography and Communications | 1.200 | Springer |
Molecular Simulation | 1.900 | Taylor & Francis |
Cybernetics and Systems Analysis | 0.500 | Springer |
Inverse Problems in Science and Engineering | 1.100 | Taylor & Francis |
Materials Chemistry and Physics | 4.300 | Elsevier |
IEEE Transactions on Big Data | 5.7 | IEEE |
Molecular Diversity | 3.900 | Springer |
Journal of the Association for Information Science and Technology | 2.800 | John Wiley & Sons |