●2022 European Conference on Natural Language Processing and Information Retrieval (ECNLPIR 2022)- Ei Compendex & Scopus—Call for papers  
Hangzhou, China ｜ November 18-20, 2022｜Website: www.ecnlpir.org

●ECNLPIR 2022 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 and presented papers will be published in digital conference proceeding, which will send to be reviewed and indexed by major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar etc.
Selected papers will be considered for submission in journal after significant extension.

●Keynote Speakers
Prof. HUIYU ZHOU, University of Leicester, UK
Prof. Pascal Hitzler, Kansas State University, USA

●Program Preview/ Program at a glance
November 18: Registration + Icebreaker Reception
November 19: Opening Ceremony+ KN Speech+ Technical Sessions
November 20: Technical Sessions+ Half day tour/Lab tours

●Paper Submission
1. Submit Via CMT: https://cmt3.research.microsoft.com/ECNLPIR2022
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