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ECNLPIR 2027 : 2027 Eurasian Conference on Natural Language Processing and Information Retrieval | |||||||||||
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Call For Papers | |||||||||||
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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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