posted by user: aircc_cfp || 17056 views || tracked by 12 users: [display]

DNLP 2020 : International Conference on Data Mining and NLP

FacebookTwitterLinkedInGoogle

Link: https://aisca2020.org/dnlp/index.html
 
When Nov 28, 2020 - Nov 29, 2020
Where Dubai, UAE
Submission Deadline Oct 25, 2020
Notification Due Nov 15, 2020
Final Version Due Nov 18, 2020
Categories    signal processing   visualization   image processing   communication
 

Call For Papers

International Conference on Data Mining and NLP (DNLP 2020)

November 28~29, 2020, Dubai, UAE

Scope & Topics

International Conference on Data Mining and NLP (DNLP 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data mining and NLP. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Data mining and NLP concepts and establishing new collaborations in these areas.

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 areas of data mining and NLP.

Topics of Interest :

  • Data Mining Applications
  • Data Mining in Modeling, Visualization, Personalization, and Recommendation
  • Data Mining Systems and Platforms, Efficiency, Scalability, and Privacy
  • Foundations, Algorithms, Models, and Theory
  • Mining Text, Semi-Structured, Spatio -Temporal, Streaming, Graph, Web, Multimedia
  • Knowledge Processing
  • Chunking/Shallow Parsing
  • Dialog Systems
  • Discourse
  • Information Extraction
  • Information Retrieval
  • Lexical Semantics
  • Linguistic Resources
  • Machine Translation
  • 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
  • NLP and Machine Learning
  • NLP and Computational Linguistics
  • NLP and Information Retrieval
  • NLP and AI, Data Mining

Paper Submission

Authors are invited to submit papers through the Submission System by October 25, 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 onference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from DNLP 2020, after further revisions, will be published in the special issues of the following journals.

Important Dates

Submission Deadline: October 25, 2020
Authors Notification: November 15, 2020
Final Manuscript Due: November 18, 2020

Co - Located Event

***** The invited talk proposals can be submitted to dnlp@aisca2020.org

Related Resources

ICSRS--Scopus & EI Compendex 2021   2021 5th International Conference on System Reliability and Safety (ICSRS 2021)--Scopus & EI Compendex
Signal 2021   8th International Conference on Signal and Image Processing
ACL-IJCNLP 2021   59t Annual Meeting of the Association for Computational Linguistcs and the 10th International Joint Conference on Natural Language Processing
CiVEJ 2020   Civil Engineering and Urban Planning: An International Journal
NLAI 2020   International Conference on NLP & Artificial Intelligence Techniques
CCBD--Ei & Scopus 2021   2021 The 8th International Conference on Cloud Computing and Big Data (CCBD 2021)--Ei Compendex & Scopus
SCOPUS-3CE 2021   2021 Asia Conference on Communications and Computer Engineering (3CE 2021)
EI-CMVIT 2021   5th International Conference on Machine Vision and Information Technology (CMVIT 2021)
ACM--CCIOT--EI, Scopus 2021   ACM--2021 6th International Conference on Cloud Computing and Internet of Things (CCIOT 2021)--Ei Compendex, Scopus
AS-RLPMTM 2021   Applied Sciences special issue Rich Linguistic Processing for Multilingual Text Mining