The modern society faces an unprecedented number of events that impact countries, communities and economies around the globe, across language, country and community borders. Recent examples include sudden or unexpected events such as terrorist attacks, political shake-ups such as Brexit as well as longer ongoing and evolving topics such as the migration crisis in Europe that regularly spawn events of global importance affecting local communities. These developments result in a vast amount of event-centric, multilingual information available from heterogeneously sources on the Web, in the Web of Data, within Knowledge Graphs, in social media, inside Web archives and in the news sources. Such event-centric information differs across sources, languages and communities, potentially reflecting community-specific aspects, opinions, sentiments and bias.
The goal of the interdisciplinary CLEOPATRA workshop is bringing together researchers and practitioners from the fields of Semantic Web, the Web, NLP, IR, Human Computation, Visual Analytics and Digital Humanities to discuss and evaluate methods and solutions for effective and efficient analytics of event-centric multilingual information spread across heterogeneous sources to deliver analytical results in the way meaningful to the users, helping the users to cross the language barrier and better understand event representations in other languages and their context.
We are interested in approaches for extracting, validating, contextualizing and interlinking of event-related information. We aim to discuss technologies addressing the use of knowledge graphs in conjunction with NLP methods and visual analytics aiming to analyse event-centric information in multiple languages as well as developing novel methods for user interaction with multilingual information. We want to facilitate a discussion around how to facilitate event-centric cross-lingual analytics and cross-cultural studies.
TOPICS OF INTEREST
The topics of interest of CLEOPATRA’2020 include the aspects related to processing multilingual event-centric information along the entire processing pipeline, starting with information extraction, through enrichment and user interaction to event analytics:
Event extraction, co-reference and linking
Relation extraction and linking
NLP methods and tools for low-resource languages
Sentiment analysis
Fact verification, especially in connection with events
Knowledge graph population
Event representation in knowledge graphs
Vocabularies for events
Image-text relations for event analysis
Event-centric Question Answering
User interaction with multilingual data
Human computation methods for multilingual data
Propagation of event-centric information
Language-specific bias
Use of knowledge graphs in event analytics
Use of knowledge graphs in cross-lingual and cross-cultural analytics
Visualization techniques for event analysis
Case studies for cross-lingual / cross-cultural event-centric analytics
SUBMISSION GUIDELINES
We welcome the following types of contributions.
Short (up to 6 pages) and full (up to 15 pages) research papers
Poster abstracts and system demonstrations should not exceed 4 pages
All submissions must be written in English and must be formatted according to the Springer LNCS proceedings style. Each submission will be reviewed by at least 3 members of the PC. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop.
Submit your contributions electronically in PDF format via the Easychair system: https://easychair.org/conferences/?conf=cleopatra2020
PROCEEEDINGS
The complete set of papers will be published with the CEUR Workshop Proceedings (CEUR-WS.org), listed by the DBLP.