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Semi-supervised learning of types of temporal meanings in the Spanish lexicon

Authors: Grill, Pablo; Claassen, Mathias; Rosá, Aiala; Correa, Hernán;

Semi-supervised learning of types of temporal meanings in the Spanish lexicon

Abstract

This paper presents a series of semi-supervised learning algorithms which were designed to classify words or expressions with temporal meanings. The algorithms use a set of pre-tagged temporal expressions and a set of semantic classes which were defined within a research project on the lexical coding of temporal meaning in Spanish. The algorithms in this article are mostly based on word embeddings, but they also make use of other methods. The results obtained strongly depend on the temporal classes considered, but, for some classes, results have reached 90% precision or above.

Sociedad Argentina de Informática e Investigación Operativa

Country
Argentina
Related Organizations
Keywords

word embeddings, temporal networks, Ciencias Informáticas, semisupervised learning, Natural Language Processing, Semantics

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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23
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