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Gbachelier: Die Seite wurde neu angelegt: „ == Reference == Francesco Barbieri and Horacio Saggion: Automatic Detection of Irony and Humour in Twitter. In: Computational Creativity 2014 ICCC 2014…“

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Die Seite wurde neu angelegt: „ == Reference == Francesco Barbieri and Horacio Saggion: Automatic Detection of Irony and Humour in Twitter. In: Computational Creativity 2014 ICCC 2014…“

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== Reference ==
Francesco Barbieri and Horacio Saggion: [[Automatic Detection of Irony and Humour in Twitter]]. In: [[Computational Creativity 2014 ICCC 2014]].

== DOI ==

== Abstract ==
Irony and humour are just two of many forms of figurative
language. Approaches to identify in vast volumes of data
such as the internet humorous or ironic statements is impor-
tant not only from a theoretical view point but also for their
potential applicability in social networks or human-computer
interactive systems. In this study we investigate the auto-
matic detection of irony and humour in social networks such
as Twitter casting it as a classification problem. We propose a
rich set of features for text interpretation and representation to
train classification procedures. In cross-domain classification
experiments our model achieves and improves state-of-the-art
performance.

== Extended Abstract ==

== Bibtex ==

== Used References ==
Barbieri, F., and Saggion, H. 2014. Modelling Irony in
Twitter. In Proceedings of the Student Research Workshop
at the 14th Conference of the European Chapter of the Asso-
ciation for Computational Linguistics, 56–64. Gothenburg,
Sweden: Association for Computational Linguistics.
Bontcheva, K.; Derczynski, L.; Funk, A.; Greenwood,

M. A.; Maynard, D.; and Aswani, N. 2013. Twitie: An
open-source information extraction pipeline for microblog
text. In Proceedings of the International Conference on Re-
cent Advances in Natural Language Processing. Association
for Computational Linguistics.

Carvalho, P.; Sarmento, L.; Silva, M. J.; and de Oliveira, E.
2009. Clues for detecting irony in user-generated contents:
oh...!! it’s so easy;-). In Proceedings of the 1st international
CIKM workshop on Topic-sentiment analysis for mass opin-
ion, 53–56. ACM.

Davidov, D.; Tsur, O.; and Rappoport, A. 2010. Semi-
supervised recognition of sarcastic sentences in twitter and
amazon. In Proceedings of the Fourteenth Conference on
Computational Natural Language Learning, 107–116. As-
sociation for Computational Linguistics.

Esuli, A., and Sebastiani, F. 2006. Sentiwordnet: A publicly
available lexical resource for opinion mining. In Proceed-
ings of Language Resources and Evaluation Conference,
volume 6, 417–422.

Giora, R. 1995. On irony and negation. Discourse processes
19(2):239–264.

Grice, H. P. 1975. Logic and conversation. 1975 41–58.
Howe, D. C. 2009. Rita wordnet. java based api to access
wordnet.

Ide, N., and Suderman, K. 2004. The American National
Corpus First Release. In Proceedings of the Language Re-
sources and Evaluation Conference.

Lucariello, J. 2007. Situational irony: A concept of events
gone away. Irony in language and thought 467–498.

Mihalcea, R., and Pulman, S. G. 2007. Characterizing hu-
mour: An exploration of features in humorous texts. In CI-
CLing, 337–347.

Mihalcea, R., and Strapparava, C. 2005. Making computers
laugh: Investigations in automatic humor recognition. In
HLT/EMNLP.

Miller, G. A. 1995. Wordnet: a lexical database for english.
Communications of the ACM 38(11):39–41.

Pang, B., and Lee, L. 2008. Opinion Mining and Sentiment
Analysis. Found. Trends Inf. Retr. 2(1-2):1–135.

Potts, C. 2011. Developing adjective scales from user-
supplied textual metadata. NSF Workshop on Restructuring
Adjectives in WordNet. Arlington,VA.

Quintilien, and Butler, H. E. 1953. The Institutio Oratoria
of Quintilian. With an English Translation by HE Butler. W.
Heinemann.

Reyes, A.; Rosso, P.; and Veale, T. 2013. A multidimen-
sional approach for detecting irony in twitter. Language Re-
sources and Evaluation 1–30.

Ritchie, G., and Masthoff, J. 2011. The STANDUP 2 in-
teractive riddle builder. In Ventura, D.; Gerv ́as, P.; Harrell,
D. F.; Maher, M. L.; Pease, A.; and Wiggins, G., eds., Pro-
ceedings of the Second International Conference on Compu-
tational Creativity, 159.

Ritchie, G. 2003. The jape riddle generator: technical spec-
ification. Technical report, University of Edingurgh.

Spell, B. 2009. Java api for wordnet searching (jaws).

Stock, O., and Strapparava, C. 2006. Laughing with ha-
hacronym, a computational humor system. In AAAI, 1675–
1678.

Taylor, J., and Mazlack, L. 2005. Toward computational
recognition of humorous intent. In Cognitive Science Con-
ference.

Utsumi, A. 2000. Verbal irony as implicit display of ironic
environment: Distinguishing ironic utterances from non-
irony. Journal of Pragmatics 32(12):1777–1806.

Veale, T., and Hao, Y. 2010a. Detecting ironic intent in
creative comparisons. In ECAI, volume 215, 765–770.

Veale, T., and Hao, Y. 2010b. An ironic fist in a vel-
vet glove: Creative mis-representation in the construction
of ironic similes. Minds and Machines 20(4):635–650.

Veale, T. 2004. The challenge of creative information re-
trieval. In Computational Linguistics and Intelligent Text
Processing. Springer. 457–467.

Veale, T. 2013. Humorous similes. Humor 26(1):3–22.
Venour, C. 2013. A computational model of lexical incon-
gruity in humorous text. Ph.D. Dissertation, University of
Aberdeen.

Wilson, D., and Sperber, D. 2002. Relevance theory. Hand-
book of pragmatics.

Witten, I. H., and Frank, E. 2005. Data Mining: Practical
machine learning tools and techniques. Morgan Kaufmann.

== Links ==
=== Full Text ===
http://computationalcreativity.net/iccc2014/wp-content/uploads/2014/06//9.2_Barbieri.pdf

[[intern file]]

=== Sonstige Links ===

@@ Zeile 26: / Zeile 26: @@
   author = {Francesco Barbieri and Horacio Saggion},
   title = {Automatic Detection of Irony and Humour in Twitter},
-  booktitle = {Proceedings of the Sixth International Conference on Computational Creativity},
+  booktitle = {Proceedings of the Fifth International Conference on Computational Creativity},
   series = {ICCC2014},
   year = {2014},

@@ Zeile 2: / Zeile 2: @@
 == Reference ==
-Francesco Barbieri and Horacio Saggion: [[Automatic Detection of Irony and Humour in Twitter]]. In: [[Computational Creativity 2014 ICCC 2014]].
+Francesco Barbieri and Horacio Saggion: [[Automatic Detection of Irony and Humour in Twitter]]. In: [[Computational Creativity 2014 ICCC 2014]], 155-162.
 == DOI ==
@@ Zeile 23: / Zeile 23: @@
 == Bibtex ==
 == Used References ==

Automatic Detection of Irony and Humour in Twitter - Versionsgeschichte

Gubachelier: /* Bibtex */

Gubachelier am 11. November 2015 um 21:47 Uhr

Gbachelier: Die Seite wurde neu angelegt: „ == Reference == Francesco Barbieri and Horacio Saggion: Automatic Detection of Irony and Humour in Twitter. In: Computational Creativity 2014 ICCC 2014…“