17 citations · 31 across the 5 of their papers we have counts for
6 papers
Object Detector Differences when using Synthetic and Real Training Data
Martin Georg Ljungqvist, Otto Nordander, Markus Skans +3
To train well-performing generalizing neural networks, sufficiently large and diverse datasets are needed. Collecting data while adhering to privacy legislation becomes increasingl…
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical and Life Science Text
Rafsan Ahmed, Petter Berntsson, Alexander Skafte +8
Background Medical and life science research generates millions of publications, and it is a great challenge for researchers to utilize this information in full since its scale and…
Connecting a French Dictionary from the Beginning of the 20th Century to Wikidata
Pierre Nugues
The \textit{Petit Larousse illustré} is a French dictionary first published in 1905. Its division in two main parts on language and on history and geography corresponds to a major…
Overview of the Ugglan Entity Discovery and Linking System
Marcus Klang, Firas Dib, Pierre Nugues
Ugglan is a system designed to discover named entities and link them to unique identifiers in a knowledge base. It is based on a combination of a name and nominal dictionary derive…
Generating a 3D Simulation of a Car Accident from a Written Description in Natural Language: the CarSim System
Sylvain Dupuy, Arjan Egges, Vincent Legendre +1
This paper describes a prototype system to visualize and animate 3D scenes from car accident reports, written in French. The problem of generating such a 3D simulation can be divid…
Verbal Interactions in Virtual Worlds
Pierre Nugues
We first discuss respective advantages of language interaction in virtual worlds and of using 3D images in dialogue systems. Then, we describe an example of a verbal interaction sy…