Fetching the paper…
Reading the bibliography…
Computational Humor involves several tasks, such as humor recognition, humor generation, and humor scoring, for which it is useful to have human-curated data.
On the theory of scales of measurement
Stanley Smith Stevens. 1946 · 1946
Earlier work this paper cites.
A coefficient of agreement for nominal scales
Jacob Cohen. 1960 · 1960
Earlier work this paper cites.
Measuring nominal scale agreement among many raters
Joseph L Fleiss. 1971 · 1971
Earlier work this paper cites.
Statistical methods for rates and proportions , 2 edition
Joseph L Fleiss. 1981 · 1981
Earlier work this paper cites.
Bootstrapping for fun: Web-based construction of large data sets for humor recognition
Rada Mihalcea and Carlo Strapparava. 2005a · 2005
Cited alongside, same era.
Recognizing humor without recognizing meaning
Jonas Sjöbergh and Kenji Araki. 2007 · 2007
Cited alongside, same era.
Content analysis: An introduction to its methodology
Klaus Krippendorff. 2012 · 2012
Cited alongside, same era.
A multidimensional approach for detecting irony in twitter
Antonio Reyes, Paolo Rosso, and Tony Veale. 2013 · 2013
Cited alongside, same era.
Making computers laugh: Investigations in automatic humor recognition
Rada Mihalcea and Carlo Strapparava. 2005b
Cited in the paper.
Automatic detection of irony and humour in twitter
Francesco Barbieri and Horacio Saggion. 2014 · 2014
Later among the works it cites.
Is this a joke? detecting humor in spanish tweets
Santiago Castro, Matías Cubero, Diego Garat, and Guillermo Moncecchi. 2016 · 2016
Later among the works it cites.
Label distribution learning
Xin Geng. 2016 · 2016
Later among the works it cites.
Semeval-2017 task 6:# hashtagwars: Learning a sense of humor
Peter Potash, Alexey Romanov, and Anna Rumshisky. 2017 · 2017
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…