Latest posts tagged with #EventDetection on Bluesky
Example of the timeline, causeline, and storyline framework applied on news from Vossen et al. (2021).
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. 📖✨ #CCLS25
SNaRe Framework Boosts Low-Resource Event Detection
SNaRe, a synthetic-data framework for event detection, boosted F1 by 3%‑7% on three low‑resource datasets and up to 20% in multilingual tests. Its Scout‑Narrator‑Refiner curates triggers. getnews.me/snare-framework-boosts-l... #eventdetection #syntheticdata
Noa Visser Solissa presenting at CCLS2025
The 2nd 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 (doi.org/10.26083/tup...)
#CCLS2025 #EventDetection #ComputationalNarratology
Updated with correct photo
Janis Pagel on the right side of the picture introduces Computational Literary Studies to the workshop audience at SIGHUM NAACL2025. Slides with explanation of CLS
@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/
Janis Pagel introducing Computational Literary Studies to the workshop audience at SIGHUM NAACL2025. Slide with explanation of CLS.
Janis Pagel from @idhcologne.bsky.social introduces #CLS to the audience at #NAACL2025 #SIGHUM. Their paper "Evaluating LLM-Prompting for Sequence Labeling Tasks in Computational Literary Studies" evaluates #SentimentAnalysis and #EventDetection tasks with #LLMs. aclanthology.org/2025.latechc...
✅ Applications of #ML in #gait #walking & #running and #sports #biomechanics
✅ Approaches for #PoseEstimation, #FeatureEstimation, #EventDetection, #DataExploration and #Clustering and automated #Classification
✅ Challenges such as lack of data & annotation availability and #explainability
