國立虎尾科技大學 |

Event analytics across languages and communities

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Event analytics across languages and communities/ edited by Ivana Marenzi ... [et al.].
其他作者:	Marenzi, Ivana.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xvi, 257 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Digital and New Media. -
電子資源:	https://doi.org/10.1007/978-3-031-64451-1
ISBN:	9783031644511

Event analytics across languages and communities
Event analytics across languages and communities[electronic resource] /edited by Ivana Marenzi ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xvi, 257 p. :ill. (chiefly color), digital ;24 cm.

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 QuoteKG - 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.

Open access.

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: Part I Event-centric Multilingual and Multimodal NLP Technologies presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of Part II: Event-centric Multilingual Knowledge Technologies discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally, Part III: Event Analytics 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.

ISBN: 9783031644511

Standard No.: 10.1007/978-3-031-64451-1doiSubjects--Topical Terms:

1365797
Digital and New Media.

LC Class. No.: P98

Dewey Class. No.: 410.285

Event analytics across languages and communities
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505 0 $a 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 QuoteKG - 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.
506 $a Open access.
520 $a 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: Part I Event-centric Multilingual and Multimodal NLP Technologies presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of Part II: Event-centric Multilingual Knowledge Technologies discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally, Part III: Event Analytics 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.
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