●2021 European Conference on Natural Language Processing and Information Retrieval (ECNLPIR 2021)- Ei Compendex & Scopus—Call for papers  
August 13-15, 2021｜Stockholm, Sweden｜Website: www.ecnlpir.org

●ECNLPIR 2021 provides researchers and industry experts with one of the best platforms to meet and discuss groundbreaking research and innovations in the field of Natural Language Processing and Information Retrieval. 
International invited speakers are invited to present their state-of-the-art work on various aspects, which will highlight important and developing areas.

●Publication and Indexing
All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
A selection of papers after significant extention will be recommended to be published in journals.

●Keynote Speakers
Prof.Henning Müller, Techno-Pôle 3, 3960 Sierre, Switzerland
Prof. Dr. Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA


●Program Preview/ Program at a glance
August 13: Registration + Icebreaker Reception
August 14: Opening Ceremony+ KN Speech+ Technical Sessions
August 15: Technical Sessions+ Half day tour/Lab tours

●Paper Submission
1. Submit Via CMT: https://cmt3.research.microsoft.com/ECNLPIR2021
2. Submit Via email directly to: ecnlpir@iased.org

●CONTACT US
Ms.Mia J. Lee
Email: ecnlpir@iased.org
Website: www.ecnlpir.org

Call for papers(http://www.ecnlpir.org/cfp.html):
Adversarial and cross language information retrieval

Aspects of high performance text analysis
Author identification and plagiarism detection
Automated knowledge aquisition and representation
Collaborative information filtering
Data mining
Data science
Decentralised knowledge representation
Diachronic corpora and temporal reasoning over knowledge basis
Dialogue systems for the Semantic Web
Document summerisation and identification
Dynamic graphs and in particular co-occurrence graphs
Event and anomaly detection
Graph and deep-learning based methods of Natural Language Processing and Information Retrieval
Information and knowledge extraction
Information mining and psycholinguistic
Information Retrieval result evaluation and relevance feedback
Intelligent Tutoring
Interactive systems
Interactive, dynamic, contextual and personalised Information Retrieval
Knowledge graph learning
Knowledge representation
Konwledge discovery
Learning Analytics Knowledge
Learning from Big Data for web-scale knowledge graphs
Lexical semantics for the Semantic Web
Methods and analyses for statistical networks
Methods and systems of automatic machine translation