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ECNLPIR 2027 : 2027 Eurasian Conference on Natural Language Processing and Information Retrieval

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Link: http://www.ecnlpir.org
 
When Sep 18, 2027 - Sep 20, 2027
Where Barcelona, Spain
Submission Deadline Apr 23, 2027
Categories    natural language processing te   information retrieval, mining   knowledge graph, semantic web
 

Call For Papers

2027 Eurasian Conference on Natural Language Processing and Information Retrieval (ECNLPIR 2027)

★CONTACT US
Website: www.ecnlpir.org
Date: September 18-20, 2027
Venue: Barcelona, Spain
Full Paper Submission: April 23, 2027
Email: inquiry@ecnlpir.org
Tel:+86-28-85586839 (International)
Monday-Friday, 9:00am-12:00pm and 1:30pm-6:00pm


★Welcome to ECNLPIR 2027
Welcome to the 2027 Eurasian Conference on Natural Language Processing and Information Retrieval (ECNLPIR 2027), which will be held in Barcelona, Spain from September 18 to 20, 2027.
The conference is organized by the International Academy of Science and Engineering for Development (IASED), which has professional knowledge and rich experience in conference organization. Attendees will be impressed by insightful speeches, appealing presentations, and stirring networking events.


★Publication Information
Registered and presented full papers will be included in the ECNLPIR 2027 digital conference proceedings and submitted to major citation databases (including, but not limited to Scopus) for review and indexing.


★Call for papers
Topics of Interest include but not limited to:
Track 1: Natural Language Processing Technology
Author identification and plagiarism detection
Document summarisation and identification
Natural language text generation from knowledge graphs and ontologies
Sentiment analysis
Opinion, personality and emotion detection in social media

Track 2: Information Retrieval, Mining & Data Analytics
Adversarial and cross language information retrieval
Aspects of high performance text analysis
Collaborative information filtering
Data mining、Data science、Text mining
Event and anomaly detection

Track 3: Knowledge Graph, Semantic Web & Intelligent System
Automated knowledge acquisition and representation
Decentralised knowledge representation
Graph and deep-learning-based methods of NLP & IR
Knowledge graph learning, Knowledge representation, Knowledge discovery
Semantic search and exploratory search

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