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Temporal and Spatial Content Tracking

Sara Tonelli will be part of the organizing committee of the workshop "From Digitization to Knowledge: Resources and Methods for Semantic Processing of Digital Works/Texts". The workshop will be co-located with the Digital Humanities conference 2016.

The abstract "Annotation of Temporal Information on Historical Texts: a Small Corpus for a Big Challenge" by Manuela Speranza and Rachele Sprugnoli has been accepeted at the "Formal Representation and Digital Humanities" workshop. The worskhop will take place in Verona on June, 28th-29th 2016.

Three papers submitted by members of our group have been accepted at the Annual Conference on Digital Humanities (DH2016) to be held in Krakow, Poland.

Six papers have been accepted at LREC 2016 - the 10th Language Resources and Evaluation Conference, 23-28 May 2016, Portorož (Slovenia).

Speaker: Paramita Mirza

Abstract: 

Neon framework is currently the fastest framework for deep learning. The talk will cover some introduction about Neon, how to setup the framework, and what are required to be modified in order to use it for NLP tasks, in particular for relation extraction tasks. 

Four papers have been accepted at CLiC-it 2015, the second Italian Conference on Computational Linguistics (3-4 December 2015, Trento).

The short paper "Recognizing Biographical Sections in Wikipedia" authored by Alessio Palmero Aprosio and Sara Tonelli has been accepted at the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015).

The article "State of the Art Language Technologies for Italian: The EVALITA 2014 Perspective" authored by Giuseppe Attardi, Valerio Basile, Cristina Bosco, Tommaso Caselli, Felice Dell’Orletta, Simonetta Montemagni, Viviana Patti, Maria Simi, and Rachele Sprugnoli has been published on "Intelligenza Artificiale", vol. 9, no. 1, 2015, pp. 43-61.

The article "Challenges in Quality of Temporal Data - Starting with Gold Standards" authored by Rosella Gennari, Sara Tonelli and Pierpaolo Vittorini has been published on the "ACM Journal on Data and Information Quality" and is now available online.

Development of a markup language for the annotation of temporal information in texts, starting from tha adaptation of TimeML to Italian, with the aim of promoting research in Temporal Processing for Italian.

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