Due to health concerns and associated travel restrictions being put in place in view of the COVID-19 coronavirus，The organizing committee of ECNLPIR 2020 has made to decision to change ECNLPIR 2020 to an online conference during same dates on September 16-18, 2020. The conference was originally scheduled to be held at Berlin, Germany. Please contact ecnlpir@iased.org for online presentation registration and fees.

●2020 European Conference on Natural Language Processing and Information Retrieval (ECNLPIR 2020)- Ei Compendex & Scopus—Call for papers  
Conference Date:September 16-18, 2020｜Website: www.ecnlpir.org

●ECNLPIR 2020 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. Paolo Rosso, Universitat Politècnica de Valencia, Spain
Prof. Dr. rer. nat. habil.Thomas Villmann, University of Applied Sciences Mittweida (UASM), Germany
Prof. Jan Treur, Vrije Universiteit Amsterdam, The Netherlands

●Call for papers(For more information, please click the official website: http://www.ecnlpir.org/cfp.html)
The topics of interest include, but are not limited to:
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 scienece
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

●Paper Submission
1. PDF version submit via CMT: https://cmt3.research.microsoft.com/ECNLPIR2020
2. Submit Via email directly to: ecnlpir@iased.org

●CONTACT US
Ms.Kiki.Y. P. Kwok
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 scienece
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
Methods based on Semantic Webarm Intelligence and other natural inspInformation Retrievaled methods
Methods for Classification and Categorisation
Multimodal human-computer communication for the Semantic Web
Natural Language based representations and knowledge systems using Semantic Web
Natural Language Proessing for digital humanities
Natural language text generation from knowledge graphs and ontologies
Natural language understanding and the Semantic Web
Ontology generation, merging and verification methods
Ontology learning
Ontology population through Natural Language Processing and Information Retrieval methods
Opinion, personality and emotion detection in social media
Propagation and diffusion of information
Query Expansion
Question anSemantic Webering over knowledge graphs
Resources for basic Natural Language Processing tasks analysis
Semantic search and exploratory search
Semantic similarity metrics and analogy
Semantic web technologies
Sentiment analysis
Similarity analysis, clustering, hierarchic clustering
Small world graphs
Social and multimedia Information Retrieval
Social Sciences
Super popular content
Taxonomy extraction
Text analytics for the Internet of Things
Text mining
Topic recognition and topic tracking, subject indexing
Use of knowledge graphs and ontologies for Natural Language Processing
Visualisation of Natural Language Processing and Information Retrieval results