Event detection is a crucial task for natural language processing and it involves the
identification of instances of specified types of events in text and their classification into …

This paper summarizes the participation of the L3i laboratory of the University of La Rochelle
in the Identifying Historical People, Places, and other Entities (HIPE) evaluation campaign of …

Historical archives represent an immense wealth, the potential of which is endangered by
the lack of effective management and access tools. We believe that this issue can be faced …

This paper introduces a new multi-class classification task: the prediction of the Structural-
Demographic phase of historical cycles-such as growth, impoverishment and crisis-from text …

Text mining involves a set of processes that analyze text to extract high‐quality information.
Among its large number of applications, there are experiments that tackle big data …

In this paper we present the PRiSMHA project, whose main goal is to demonstrate that a rich
semantic representation of the content of historical documents is useful-since it can …

An increasing amount of historic data is now available in digital (text) formats. This gives
quantitative researchers an opportunity to use distant reading techniques, as opposed to …

In the framework of the commemorations for the First World War, a research project has
been carried on in order to identify, archive and disseminate the places involved by the war …

To prevent historical knowledge's fading, research in event detection could facilitate access
to digitized collections. In this paper, we propose a method for annotating multilingual …

The paper illustrates the design and development of a textual corpus repre-sentative of the
historical variants of Ital-ian during the Great War, which was en-riched with linguistic …