Publication
A Method for Record Linkage with Sparse Historical Data
Publications associées (39)
From Archival Sources to Structured Historical Information: Annotating and Exploring the "Accordi dei Garzoni"
Frédéric Kaplan, Maud Ehrmann, Orlin Biserov Topalov
If automatic document processing techniques have achieved a certain maturity for present time documents, the transformation of hand-written documents into well-represented, structured and connected data which can satisfactorily be used for historical study ...
Routledge, Taylor & Francis Group2023Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework
This paper examines how the European press dealt with the no-vax reactions against the Covid-19 vaccine and the dis- and misinformation associated with this movement. Using a curated dataset of 1786 articles from 19 European newspapers on the anti-vaccine ...
ASSOC COMPUTING MACHINERY2023Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
Maud Ehrmann, Matteo Romanello
We present the HIPE-2022 shared task on named entity processing in multilingual historical documents. Following the success of the first CLEF-HIPE-2020 evaluation lab, this edition confronts systems with the challenges of dealing with more languages, learn ...
Springer International Publishing2022Strong Heuristics for Named Entity Linking
Robert West, Akhil Arora, Marko Culjak, Andreas Oliver Spitz
Named entity linking (NEL) in news is a challenging endeavour due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods. However, such methods tend to come with caveats, such as no integration of ...
ASSOC COMPUTATIONAL LINGUISTICS-ACL2022A Two-Step Approach To Leverage Contextual Data: Speech Recognition In Air-Traffic Communications
Petr Motlicek, Juan Pablo Zuluaga Gomez, Amrutha Prasad
Automatic Speech Recognition (ASR), as the assistance of speech communication between pilots and air-traffic controllers, can significantly reduce the complexity of the task and increase the reliability of transmitted information. ASR application can lead ...
IEEE2022HIPE-2022 Shared Task Named Entity Datasets
Maud Ehrmann, Matteo Romanello
HIPE-2022 datasets used for the HIPE 2022 shared task on named entity recognition and classification (NERC) and entity linking (EL) in multilingual historical documents. HIPE-2022 datasets are based on six primary datasets assembled and prepared for the sh ...
2022A Posthumous Rivalry: On Borelli and Viviani's Relationship between the Accademia del Cimento and en Eighteenth-Century Controversy
Simon François Dumas Primbault
Between around 1656 and the late 1660s, Giovanni Alfonso Borelli and Vincenzio Viviani, self-proclaimed last disciple of Galileo, collaborated on a host of math- ematical, physico-mathematical, and experimental problems, notably within the Acca- demia del ...
2022Low-Rank Subspaces for Unsupervised Entity Linking
Robert West, Akhil Arora, Alberto Garcia Duran
Entity linking is an important problem with many applications. Most previous solutions were designed for settings where annotated training data is available, which is, however, not the case in numerous domains. We propose a light-weight and scalable entity ...
ASSOC COMPUTATIONAL LINGUISTICS-ACL2021Discourse Phenomena in Machine Translation
Lesly Sadiht Miculicich Werlen
Machine Translation (MT) has made considerable progress in the past two decades, particularly after the introduction of neural network models (NMT). During this time, the research community has mostly focused on modeling and evaluating MT systems at the se ...
EPFL2021CLEF-HIPE-2020 Shared Task Named Entity Datasets
Maud Ehrmann, Matteo Romanello
CLEF-HIPE-2020 (Identifying Historical People, Places and other Entities) is a evaluation campaign on named entity processing on historical newspapers in French, German and English, which was organized in the context of the impresso project and run as a CL ...
2020