This paper presents an extended overview of the first edition of HIPE (Identifying Historical
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …

We apply a pre-trained transformer based representational language model, ie BERT
(Devlin et al., 2018), to named entity recognition (NER) in contemporary and historical …

This paper presents an overview of the first edition of HIPE (Identifying Historical People,
Places and other Entities), a pioneering shared task dedicated to the evaluation of named …

In recent years, many cultural institutions have engaged in large-scale newspaper
digitization projects and large amounts of historical texts are being acquired (via …

The French TreeBank developed at the University Paris 7 is the main source of
morphosyntactic and syntactic annotations for French. However, it does not include explicit …

This PhD thesis is part of the research project PERDIDO, which aims at extracting and
retrieving displacements from textual documents. This work was conducted in collaboration …

Cette thèse concerne l'analyse automatique des SMS et l'extraction des informations qui y
sont contenues. Le point de départ de notre recherche est le constat que la plupart des …

In recent years, neural methods for Natural Language Processing (NLP) have consistently
and repeatedly improved the state of the art in a wide variety of NLP tasks. One of the main …

The influx of digitized historical documents into online collections has made the study of
these documents much more accessible to researchers and the general public. This data …

We present the preliminary results of an ongoing work aimed at using morpho-syntactic
patterns to extract information from process descriptions in a semi-supervised manner. The …