Conference Information

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

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ECNLPIR
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Submission Date:
2027-04-09 Due in 188 days
Notification Date:
2027-06-24
Conference Date:
2027-09-18
Location:
Barcelona, Spain
Years:
Viewed: 20290   Tracked: 4   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,159 of 5,693 conferences · Top 74%

#65 of 85 in Natural Language Processing & Speech #254 of 337 in Data Mining & Databases

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
19
Community attention (10%)
26
Public record completeness (15%)
55

Inputs used: Editions on record: 1 · Researchers following it here: 4 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-03

Call For Papers

ECNLPIR 2027 (Eurasian Conference on Natural Language Processing and Information Retrieval) is an academic conference held in Barcelona, Spain on 2027-09-18. The paper submission deadline is 2027-04-09. Acceptance notifications are sent on 2027-06-24.

We invite submissions on a wide range of research topics, spanning both theoretical and systems research. The topics of interest include, but are 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 Methods for Classification and Categorisation Topic recognition and topic tracking, subject indexing Methods and systems of automatic machine translation Natural Language Processing for Digital Humanities Resources for basic Natural Language Processing tasks analysis 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 Information, knowledge and taxonomy extraction Information mining and psycholinguistic Interactive, dynamic, contextual and personalised Information Retrieval Query Expansion Social and Multimedia Information Retrieval Text analytics for the Internet of Things Propagation and diffusion of information Super popular content Information Retrieval result evaluation and relevance feedback 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 Learning from Big Data for web-scale knowledge graphs Lexical semantics for the Semantic Web Intelligent Tutoring, Interactive Systems Methods and analyses for statistical networks Ontology generation, merging and verification methods Ontology learning、Ontology population Semantic similarity metrics and analogy Similarity analysis, clustering, hierarchical clustering Small world graphs Use of knowledge graphs and ontologies for NLP Visualisation of NLP and IR results
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