Event Analytics across Languages and Communities

2024
ISBN: 978-3-031-64450-4
Verlag: Springer Nature Switzerland

Buch, Englisch, 257 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 580 g

This open access book presents interdisciplinary and cross-sectoral research results fostering event analytics across languages and communities. It is based on the CLEOPATRA International Training Network, which explored how we analyze and understand the major events that influence and shape our lives and societies, and how they unfold online. This analysis was achieved through various case studies, the development of novel methodologies in fields such as data mining and natural language processing, and the creation of new event-centric datasets aggregated in the Open Event Knowledge Graph (OEKG), a multilingual event-centric knowledge graph that contains more than 1 million events in 15 languages.

The book is divided into three parts, focusing on different aspects of event analytics across languages and communities: presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally, covers three selected aspects of multilingual event analytics, namely an analysis of event-centric news spreading barriers, claim detection in social media, and the narrativization of events as a means of presenting event data.

This book is mainly written for researchers in academia and industry, who work on topics like natural language processing, large language models, multilingual information retrieval or event analytics.

Zielgruppe

Research

Autoren/Hrsg.

Marenzi, Ivana

Gottschalk, Simon

Winters, Jane

Müller-Budack, Eric

Tadi¿, Marko

Tadic, Marko

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften Digitale Medien, Internet, Telekommunikation
• Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung

Inhaltsverzeichnis

Part I: Event-centric Multilingual and Multimodal NLP Technologies.- 1. UNER: Universal Named-Entity Recognition Framework.- 2. Multimodal Geolocation Estimation in News Documents.- 3. Robustness of Corpus-based Typological Strategies for Dependency Parsing.- 4. Processing Multimodal Information: Challenges and Solutions for Multimodal Sentiment Analysis and Hate Speech Detection.- 5. Effect of Unknown and Fragmented Tokens on the Performance of Multilingual Language Models at Low-resource Tasks.- Part II: Event-centric Multilingual Knowledge Technologies.- 6. Collection and Integration of Event-centric Information in Cross-lingual Knowledge Graphs.- 7. Event Analysis through – a Multilingual Knowledge Graph of Quotes.- 8. Event Recommendation through Language-specific User Behaviour in Clickstreams.- 9. Conversational Question Answering over Knowledge Graphs.- Part III: Event Analytics.- 10. Analysis of Event-centric News Spreading Barriers.- 11. Claim Detection in Social Media.- 12. Narrativizing Events.

Über Autor(innen)

Ivana Marenzi is a senior researcher at the L3S Research Center of the Leibniz University of Hannover, Germany. Her main area of research in technology-enhanced learning includes the support of collaborative and lifelong learning. As an educational technologist her main interest is dealing with issues related to the adoption of new technologies in education.

Simon Gottschalk is a research group leader at the L3S Research Center of the Leibniz University of Hannover. His research focus is on knowledge graphs – their creation, enrichment, application and analysis, and event knowledge graphs specifically – and spatio-temporal data.

Eric Müller-Budack is a postdoctoral researcher in the Visual Analytics Research Group of the TIB - Leibniz Information Centre for Science and Technology as well as at the L3S Research Center. His main research interests include automatic multimedia indexing, multimedia and multimodal information retrieval, and deep learning for multimedia analysis and retrieval.

Marko Tadic is Professor at the University of Zagreb, Faculty of Humanities and Social Sciences, Department of Linguistics, and associated member of the Croatian Academy of Sciences and Arts. His interests are in corpus and computational linguistics, language technologies and research infrastructures in Humanities and Social Sciences.

Jane Winters is Professor of Digital Humanities and Director of the Digital Humanities Research Hub at the School of Advanced Study, University of London. Her research interests include digital history, born-digital archives, the use of social media by cultural heritage institutions, and open access publishing.