The paper "An Analysis of Causality between Events and its Relation to Temporal Information" by Paramita Mirza and Sara Tonelli has been accepted for oral presentation at the 25th International Conference on Computational Linguistics (Coling 2014).
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Temporal and Spatial Content Tracking
We are happy to announce that the first part of the Training Data for the EVENTI task is now available for download. For instructions go to https://sites.google.com/site/eventievalita2014/data-tools
In addition, also the first version of our task guidelines is online: https://sites.google.com/site/eventievalita2014/file-cabinet
Our PhD student Stefano Menini has been awarded a Google grant to attend the 4th Lisbon Machine Learning School. Competition was tough and only 14% of the applications got funded. Congratulations!
Academic institutions and industrial organizations interested in participating in the EVENTI task can fill in the form at the following address: http://www.evalita.it/CFI2014.html
The paper "Annotating causality in the TempEval-3 corpus" by Paramita Mirza, Rachele Sprugnoli, Sara Tonelli and Manuela Speranza has been accepted for presentation at EACL-2014 Workshop on Computational Approaches to Causality in Language, 26 April, Gothenburg, Sweden.
Documentation, data and tools related to the task will be made available on the website.
The following hashtags can be used to disseminate the initiative through Twitter: #evalita2014 #EVENTI #Time.
The EVALITA 2014 workshop will be held in conjunction with CLIC 2014,the first Italian Computational Linguistics Conference.
The EVENTI - EValuation of Events aNd Temporal Information task by Tommaso Caselli (Trento-RISE), Rachele Sprugnoli (DH-FBK), Manuela Speranza (HLT-FBK) and Monica Monachini (ILC-CNR) has been accepted at EVALITA 2014 evaluation campaign.
Three papers accepted at LREC 2014: "CROMER: A Tool for Cross-Document Event and Entity Coreference", "Crowdsourcing for the identification of event nominals: an experiment", "A SICK cure for the evaluation of compositional distributional semantic models".
The paper "Classifying Temporal Relations with Simple Features" by Paramita Mirza and Sara Tonelli has been accepted at the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL2014).