@conference { ISI:000366168000006,
	title = {A hashtags dictionary from crowdsourced definitions},
	booktitle = {2014 IEEE 30TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOPS (ICDEW)},
	year = {2014},
	note = {IEEE 30th International Conference on Data Engineering (ICDE), Chicago, IL, MAR 31-APR 04, 2014},
	pages = {39-44},
	publisher = {IEEE; Microsoft; Qatar Comp Res Inst; HERE Nokia; Purdue Univ, Cyber Ctr; NW Univ, McCormick Sch Engn; Google},
	organization = {IEEE; Microsoft; Qatar Comp Res Inst; HERE Nokia; Purdue Univ, Cyber Ctr; NW Univ, McCormick Sch Engn; Google},
	abstract = {Hashtags are user-defined terms used on the Web to tag messages like microposts, as featured on Twitter. Because a hashtag is a textual word, its representation does not convey all the concepts it embodies. Several online dictionaries have been manually and collaboratively built to provide natural language definitions of hashtags. Unfortunately, these dictionaries in their rough form are inefficient for their inclusion in automatic text processing systems. As hashtags can be polysemic, dictionaries are also agnostic to collision of hashtags. This paper presents our approach for the automatic structuration of hashtags definitions into synonym rings. We present the output as a so-called folk-sionary, i.e. a single integrated dictionary built from everybody{\textquoteright}s definitions. For this purpose, we achieved a semantic-relatedness clustering to group definitions that share the same meaning.},
	isbn = {978-1-4799-3481-2},
	author = {Ghenname, Merieme and Subercaze, Julien and Gravier, Christophe and Laforest, Frederique and Abik, Mounia and Ajhoun, Rachida}
}
