Welcome to NLPML 2023

4th International Conference on Natural Language Processing and Machine Learning (NLPML 2023)

May 20 ~ 21, 2023, Zurich, Switzerland


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

Program Committee

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Accepted Papers

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Venue

Zurich, Switzerland

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Scope

4th International Conference on Natural Language Processing and Machine Learning (NLPML 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Machine learning. The Conference looks for significant contributions to all major fields of the Natural Language processing and machine learning in theoretical and practical aspects.


Call for Papers


4th International Conference on Natural Language Processing and Machine Learning (NLPML 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Machine learning. The Conference looks for significant contributions to all major fields of the Natural Language processing and machine learning in theoretical and practical aspects.


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


    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
  • Machine Learning
  • Applications
  • Learning in knowledge-intensive systems
  • Learning Methods and analysis
  • Learning Problems

Paper Submission

Authors are invited to submit papers through the conference Submission System by January 29, 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).

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Sponsors