Human language reveals a universal positivity bias

no code implementations • 15 Jun 2014 • Peter Sheridan Dodds, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow, Karine Megerdoomian, Matthew T. McMahon, Brian F. Tivnan, Christopher M. Danforth

Using human evaluation of 100, 000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that (1) the words of natural human language possess a universal positivity bias; (2) the estimated emotional content of words is consistent between languages under translation; and (3) this positivity bias is strongly independent of frequency of word usage.

Cultural Vocal Bursts Intensity Prediction Translation

A Comprehensive Evaluation and Correction of the TimeBank Corpus

no code implementations • LREC 2022 • Mustafa Ocal, Antonela Radas, Jared Hummer, Karine Megerdoomian, Mark Finlayson

TimeML is an annotation scheme for capturing temporal information in text.