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The LiLa Knowledge Base of Linguistic Resources and NLP Tools for Latin.

, , , , , and . LDK (Posters), volume 2402 of CEUR Workshop Proceedings, page 6-11. CEUR-WS.org, (2019)

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Word Sense Discrimination on Tweets: A Graph-based Approach., , and . KDIR, page 138-146. SciTePress, (2015)A New Latin Treebank for Universal Dependencies: Charters between Ancient Latin and Romance Languages., , and . LREC, page 933-942. European Language Resources Association, (2020)Enhancing the Latin Morphological Analyser LEMLAT with a Medieval Latin Glossary., , , , , , , , and . CLiC-it, volume 2253 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Challenges in Converting the Index Thomisticus Treebank into Universal Dependencies., , , and . UDW@EMNLP, page 27-36. Association for Computational Linguistics, (2018)UNIMIB@NEEL-IT: Named Entity Recognition and Linking of Italian Tweets., , , , , , and . CLiC-it/EVALITA, volume 1749 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction., , and . NODALIDA, volume 131 of Linköping Electronic Conference Proceedings, page 105-114. Linköping University Electronic Press / Association for Computational Linguistics, (2017)Let's Do It Orderly: A Proposal for a Better Taxonomy of Adverbs in Universal Dependencies, and Beyond.. Prague Bull. Math. Linguistics, (June 2024)Linking the Computational Historical Semantics corpus to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin., , and . LDK, page 74-85. NOVA CLUNL, Portugal, (2023)Graph-based Clustering Algorithms for Word Sense Induction.. University of Milan, Italy, (2017)The LiLa Knowledge Base of Linguistic Resources and NLP Tools for Latin., , , , , and . LDK (Posters), volume 2402 of CEUR Workshop Proceedings, page 6-11. CEUR-WS.org, (2019)