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Historical Content Analysis
The paper "ALCIDE: An online platform for the Analysis of Language and Content In a Digital Environment" by Giovanni Moretti, Sara Tonelli, Stefano Menini, and Rachele Sprugnoli has been accepted at CLIC-it in the Digital Humanities track.
Abstract by Stefano Menini has been accepted at the international workshop "Exploring Historical Sources with Language Technology: Results and Perspectives".
Slides of the presentation "Sentiment Analysis for the Humanities: the Case of Historical Texts" given at DH2014 are now online!
We will present our long paper "Sentiment Analysis for the Humanities: the Case of Historical Texts" by Alessandro Marchetti, Sara Tonelli and Rachele Sprugnoli during the DH2014 conference in Lausanne.
Our presentation is scheduled on Friday, 11 in Room 413 at Amphimax building.
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
CLiC-it, Italian Conference on Computational Linguistics, is a new event aiming to establish a reference forum for research on Computational Linguistics of the Italian community. CLiC-it covers all aspects of automatic language understanding, both written and spoken, and targets state-of-art theoretical results, experimental methodologies, technologies, as well as application perspectives, which may contribute to advance the field.
Date: 13/3/2014 10am
Speaker: Antonio Chemotti, Phd student, Munich Doctoral Program for Literature and the Arts, Ludwig-Maximilians-Universität München.
Title: "Polyphony and liturgy for the dead in 16th century Europe: mimesis in renaissance sacred music"
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
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.