[hal-01074964] TempoWordNet for Sentence Time Tagging

In this paper we propose to build a temporal ontology which may contribute to the success of time-related applications Temporal classifiers are learned from a set of time-sensitive synsets and then applied to the whole WordNet to give rise to TempoWordNet So each synset is augmented with its intrinsic temporal value To evaluate TempoWordNet we use a semantic vector space representation for sentence temporal classification which shows that improvements may be achieved with the time-augmented knowledge base against a bag-of-ngrams representation



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