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Temporal Processing

In the context of her PhD research, Rachele Sprugnoli has prepared a questionnaire about the notion of “event” for historians and the interest towards the use of Natural Language Processing tools to support historical investigations.

The full set of training data for the EVENTI Task @EVALITA2014 is now available and can be downloaded following the links on the META-SHARE Platform https://sites.google.com/site/eventievalita2014/data-tools.

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).

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

The call for interest for EVALITA 2014 tasks is open.

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.

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The website of the EVENTI (EValuation of Events aNd Temporal Information) task at EVALITA 2014 is now online: https://sites.google.com/site/eventievalita2014/

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 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.

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).

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