Multi-task emoji learning

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  • dc.contributor.author Barbieri, Francescoca
  • dc.contributor.author Marujo, Luísca
  • dc.contributor.author Karuturi, Pradeepca
  • dc.contributor.author Brendel, Williamca
  • dc.date.accessioned 2018-10-24T09:59:18Z
  • dc.date.available 2018-10-24T09:59:18Z
  • dc.date.issued 2018
  • dc.description Comunicació presentada a la 12th International AAAI Conference on Web and Social Media (ICWSM 2018) celebrada a Stanford (EEUU) el 25 de juny de 2018.
  • dc.description.abstract Emojis are very common in social media and understanding their underlying semantics is of great interest from a Natural Language Processing point of view. In this work, we investigate emoji prediction in short text messages using a multi-task pipeline that simultaneously predicts emojis, their categories and sub-categories. The categories are either manually predefined in the unicode standard or automatically obtained by clustering over word embeddings. We show that using this categorical information adds meaningful information, thus improving the performance of emoji prediction task. We systematically analyze the performance of the emoji prediction task by varying the number of training samples and also do a qualitative analysis by using attention weights from the prediction task.
  • dc.description.sponsorship This work was done when Francesco B. interned at Snap Inc. Francesco B. acknowledge support also from the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE) and the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502).
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Barbieri F, Marujo L, Karuturi P, Brendel W. Multi-task emoji learning. In: Wijeratne S, Kiciman E, Saggion H, Sheth A, editors. Proceedings of the 1st International Workshop on Emoji Understanding and Applications in Social Media (Emoji 2018) co-located with the 12th International AAAI Conference on Web and Social Media (ICWSM 2018); 2018 Jun 25; Stanford, CA. [Aachen]: CEUR; 2018. 9 p.
  • dc.identifier.uri http://hdl.handle.net/10230/35646
  • dc.language.iso eng
  • dc.publisher CEUR Workshop Proceedingsca
  • dc.relation.ispartof Wijeratne S, Kiciman E, Saggion H, Sheth A, editors. Proceedings of the 1st International Workshop on Emoji Understanding and Applications in Social Media (Emoji 2018) co-located with the 12th International AAAI Conference on Web and Social Media (ICWSM 2018); 2018 Jun 25; Stanford, CA. [Aachen]: CEUR; 2018.
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
  • dc.rights Copyright © 2018 the authors
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.title Multi-task emoji learningca
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/publishedVersion

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