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Presentation . 2021
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Presentation . 2021
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Latin Embeddings and the LiLa Knowledge Base of Interlinked Resources for Latin

Authors: Passarotti Marco; Sprugnoli Rachele;

Latin Embeddings and the LiLa Knowledge Base of Interlinked Resources for Latin

Abstract

In our talk, we present the structure and the linguistic resources currently included in the LiLa Knowledge Base, i.e. a collection of multifarious textual and lexical resources for Latin described with the same vocabulary of knowledge description and interlinked according to the principles of the Linked Data paradigm. We also present a set of lemma embeddings for Latin and a couple of experiments using such embeddings for inducing sentiment lexicons and for analyzing diachronical language change in two Latin corpora.

Keywords

word embeddings, language change detection, sentiment analysis, latin, linked data

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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