Storyline detection and tracking using Dynamic Latent Dirichlet Allocation
| العنوان: | Storyline detection and tracking using Dynamic Latent Dirichlet Allocation |
|---|---|
| المؤلفون: | Daniel Bruggermann, Stefan Selzer, Darius Schneider, Yannik Hermey, Carsten Orth, Gerasimos Spanakis |
| المساهمون: | DKE Scientific staff, RS: FSE DACS |
| المصدر: | Proceedings of the 2nd Workshop on Computing News Storylines (CNS 2016), EMNLP 2016, 9-19 STARTPAGE=9;ENDPAGE=19;TITLE=Proceedings of the 2nd Workshop on Computing News Storylines (CNS 2016), EMNLP 2016 |
| بيانات النشر: | Association for Computational Linguistics, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | symbols.namesake, Computer science, business.industry, symbols, Pattern recognition, Artificial intelligence, Tracking (particle physics), business, Latent Dirichlet allocation |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a8d614ee0f6f7e9819003bac4770862 https://doi.org/10.18653/V1/W16-5702 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....8a8d614ee0f6f7e9819003bac4770862 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |