They offer a critical #survey of the #SoA of #EventDetection in journalism, history, and literary studies. By comparing their model to a storyline analysis framework used in news, they show how fiction and non-fiction can be analyzed studying narrative progression across domains. πŸ“–βœ¨ #CCLS25
The second talk is by Noa Visser Solissa, Andreas van Cranenburgh and @fpianz.bsky.social: Event Detection between Literary Studies and NLP. A Survey, a Narratological Reflection, and a Case Study (https://doi.org/10.26083/tuprints-00030150)
#CCLS2025 #EventDetection #Narratology #ComputationalNarratology
@janispagel introduces #CLS to the audience at #NAACL2025 #SIGHUM. The paper "Evaluating LLM-Prompting for Sequence Labeling Tasks in Computational Literary Studies" evaluates #SentimentAnalysis and #EventDetection tasks with #LLMs. https://aclanthology.org/2025.latechclfl-1.0/
Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025)

Anna Kazantseva, Stan Szpakowicz, Stefania Degaetano-Ortlieb, Yuri Bizzoni, Janis Pagel. Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025). 2025.

ACL Anthology
Our research titled 'Amplitude and Inter-Event Time Statistics for the Island Volcanoes Stromboli, Mount Etna, Yasur, and Whakaari' using AWESAM is accepted in @frontiersin . follow the link to know more about the package #volcanoes #eventdetection
https://youtu.be/S3OQ3mT96CY
AWESAM for volcano-seismic event detection (tutorial)

"Tutorial for AWESAMGithub: https://github.com/srivastavaresearchgroup/AWESAM.Details are explained in the publication: https://www.frontiersin.org/articles/...

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