Salmon Run: Finding Temporality of Sentences with TempoWordNet



Salmon Run: Finding Temporality of Sentences with TempoWordNet

Wednesday, April 30, 2014 In my previous post , I described a Scala implementation of the Negex algorithm , that was initially developed to detect negation of phrases in a sentence using manually built pre- and post- trigger terms. Later on, it was found that the same algorithm could be used to also detect temporality and experiencer characteristics of a phrase in a sentence, using a different set of pre- and post- trigger terms. I also recently became aware of the TempoWordNet project from a group at Normandie University . The project provides a free lexical resource that contains each synset of Wordnet marked up with its probability of being past, present, future or atemporal. This paper describes the process by which these probabilities were generated. There is another paper which one of the authors referenced on LinkedIn, but its unfortunately behind an ACM paywall, and I am no longer a member starting this year, so could not read it.

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