TY - GEN
T1 - The 7th International Workshop on Narrative Extraction from Texts
T2 - 46th European Conference on Information Retrieval, ECIR 2024
AU - Campos, Ricardo
AU - Jorge, Alípio
AU - Jatowt, Adam
AU - Bhatia, Sumit
AU - Litvak, Marina
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - The Text2Story Workshop series, dedicated to Narrative Extraction from Texts, has been running successfully since 2018. Over the past six years, significant progress, largely propelled by Transformers and Large Language Models, has advanced our understanding of natural language text. Nevertheless, the representation, analysis, generation, and comprehensive identification of the different elements that compose a narrative structure remains a challenging objective. In its seventh edition, the workshop strives to consolidate a common platform and a multidisciplinary community for discussing and addressing various issues related to narrative extraction tasks. In particular, we aim to bring to the forefront the challenges involved in understanding narrative structures and integrating their representation into established frameworks, as well as in modern architectures (e.g., transformers) and AI-powered language models (e.g., chatGPT) which are now common and form the backbone of almost every IR and NLP application. Text2Story encompasses sessions covering full research papers, work-in-progress, demos, resources, position and dissemination papers, along with keynote talks. Moreover, there is dedicated space for informal discussions on methods, challenges, and the future of research in this dynamic field.
AB - The Text2Story Workshop series, dedicated to Narrative Extraction from Texts, has been running successfully since 2018. Over the past six years, significant progress, largely propelled by Transformers and Large Language Models, has advanced our understanding of natural language text. Nevertheless, the representation, analysis, generation, and comprehensive identification of the different elements that compose a narrative structure remains a challenging objective. In its seventh edition, the workshop strives to consolidate a common platform and a multidisciplinary community for discussing and addressing various issues related to narrative extraction tasks. In particular, we aim to bring to the forefront the challenges involved in understanding narrative structures and integrating their representation into established frameworks, as well as in modern architectures (e.g., transformers) and AI-powered language models (e.g., chatGPT) which are now common and form the backbone of almost every IR and NLP application. Text2Story encompasses sessions covering full research papers, work-in-progress, demos, resources, position and dissemination papers, along with keynote talks. Moreover, there is dedicated space for informal discussions on methods, challenges, and the future of research in this dynamic field.
UR - http://www.scopus.com/inward/record.url?scp=85189318954&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-56069-9_52
DO - 10.1007/978-3-031-56069-9_52
M3 - Conference contribution
AN - SCOPUS:85189318954
SN - 9783031560682
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 391
EP - 397
BT - Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings
A2 - Goharian, Nazli
A2 - Tonellotto, Nicola
A2 - He, Yulan
A2 - Lipani, Aldo
A2 - McDonald, Graham
A2 - Macdonald, Craig
A2 - Ounis, Iadh
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 March 2024 through 28 March 2024
ER -