List of results published directly linked with the projects co-funded by the Spanish Ministry of Economy and Competitiveness under the María de Maeztu Units of Excellence Program (MDM-2015-0502).

List of publications acknowledging the funding in Scopus.

The record for each publication will include access to postprints (following the Open Access policy of the program), as well as datasets and software used. Ongoing work with UPF Library and Informatics will improve the interface and automation of the retrieval of this information soon.

The MdM Strategic Research Program has its own community in Zenodo for material available in this repository   as well as at the UPF e-repository   

 

 

Back Barbieri F, Camacho-Collados J, Ronzano F, Espinosa-Anke L, Ballesteros M, Basile V, Patti V, Saggion H. SemEval 2018 Task 2: Multilingual Emoji Prediction. Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval 2018)

Barbieri F, Camacho-Collados J, Ronzano F, Espinosa-Anke L, Ballesteros M, Basile V, Patti V, Saggion H. SemEval 2018 Task 2: Multilingual Emoji Prediction. Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval 2018)

This paper describes the results of the first shared task on Multilingual Emoji Prediction, organized as part of SemEval 2018. Given the text of a tweet, the task consists of predicting the most likely emoji to be used along such tweet. Two subtasks were proposed, one for English and one for Spanish, and participants were allowed to submit a system run to one or both subtasks. In total, 49 teams participated in the English subtask and 22 teams submitted a system run to the Spanish subtask. Evaluation was carried out emoji-wise, and the final ranking was based on macro F-Score. Data and further information about this task can be found at https://competitions. codalab.org/competitions/17344

Additional material:

Participants were provided with a Javabased crawler (https://github.com/fra82/ twitter-crawler) to ease the download of the textual content of tweets from the ID list