Comparative Literature: World Literature, There and Here
https://www.sol.lu.se/en/course/LIVA07/HT2026/ - 2026-10-09
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https://www.sol.lu.se/en/course/LIVA07/HT2026/ - 2026-10-09
https://www.sol.lu.se/en/course/LIVA13/ - 2026-10-09
https://www.sol.lu.se/en/course/LIVA15/ - 2026-10-09
https://www.sol.lu.se/en/course/SVEG38 - 2026-09-06
https://www.sol.lu.se/en/course/LINB41/ - 2026-10-08
https://www.sol.lu.se/en/course/SVEG38/ - 2026-10-08
https://www.sol.lu.se/en/course/SVEG38/HT2026/ - 2026-10-09
https://www.sol.lu.se/en/course/SVEM36/ - 2026-10-09
https://www.sol.lu.se/en/course/LIVR35/ - 2026-10-08
https://www.sol.lu.se/en/course/LIVR46/ - 2026-10-08
https://www.sol.lu.se/en/course/SVAM01/ - 2026-10-08
https://www.sol.lu.se/en/course/LIVR73/ - 2026-10-08
https://www.sol.lu.se/en/course/LIVR81/HT2026/ - 2026-10-08
https://www.sol.lu.se/en/course/LIVR81/ - 2026-10-08
https://www.sol.lu.se/en/course/LIVR56/ - 2026-10-09
https://www.sol.lu.se/en/course/LIVR63/ - 2026-10-09
In this paper, we describe a new system to extract, index, search, and visualize entities in Wikipedia. To carry out the entity extraction, we designed a high-performance, multilingual, entity linker and we used a document model to store the resulting linguistic annotations. The entity linker, HEDWIG, extracts the mentions from text usinga string matching Engine and links them toentities with a co
https://www.sol.lu.se/en/course/LIVR82/ - 2026-10-08
https://www.sol.lu.se/en/subjects/latin/literature/ - 2026-10-08