no code implementations • JEPTALNRECITAL 2020 • Mathieu Lafourcade, S, No{\'e}mie-Fleur illon-Rezer
Cet article se focalise sur l{'}utilisation d{'}un large r{\'e}seau lexico-s{\'e}mantique fran{\c{c}}ais pour le calcul de similarit{\'e} th{\'e}matique d{'}interventions au cours d{'}un d{\'e}bat en ligne dans les lyc{\'e}es, proche du temps r{\'e}el.
no code implementations • LREC 2020 • Medet Mukushev, Alfarabi Imashev, Vadim Kimmelman, S, Anara ygulova
However, it is a very time-consuming process, thus only a handful of sign languages have such inventories.
no code implementations • LREC 2020 • St{\'e}phan Tulkens, S, Dominiek ra, Walter Daelemans
We consider the orthographic neighborhood effect: the effect that words with more orthographic similarity to other words are read faster.
no code implementations • LREC 2020 • Medet Mukushev, Arman Sabyrov, Alfarabi Imashev, Kenessary Koishybay, Vadim Kimmelman, S, Anara ygulova
The motivation behind this work lies in the need to differentiate between similar signs that differ in non-manual components present in any sign.
no code implementations • LREC 2020 • S, Eric ers, Antal Van den Bosch
Larger improvements for one election are possible, but result in deterioration of the MAE for the other elections.
no code implementations • SEMEVAL 2019 • Jonathan Herzig, S, Tommy bank, Michal Shmueli-Scheuer, David Konopnicki
Chatbots (i. e., bots) are becoming widely used in multiple domains, along with supporting bot programming platforms.
no code implementations • WS 2019 • Christian Wartena, S, Uwe er, Christiane Patzelt
We present a simple method to find topics in user reviews that accompany ratings for products or services.
no code implementations • WS 2018 • Jeremy Gwinnup, S, Joshua vick, Michael Hutt, Grant Erdmann, John Duselis, James Davis
AFRL-Ohio State extends its usage of visual domain-driven machine translation for use as a peer with traditional machine translation systems.
1 code implementation • CONLL 2018 • St{\'e}phan Tulkens, S, Dominiek ra, Walter Daelemans
We conclude that the neighborhood effect is unlikely to have a perceptual basis, but is more likely to be the result of items co-activating after recognition.
no code implementations • WS 2017 • Jonathan Herzig, Michal Shmueli-Scheuer, S, Tommy bank, David Konopnicki
We present a neural response generation model that generates responses conditioned on a target personality.
no code implementations • LREC 2016 • Bridget Sommerdijk, S, Eric ers, Antal Van den Bosch
In absence of information on previous shows, Twitter-based counts may be a viable alternative to classic estimation methods for TV ratings.
no code implementations • LREC 2016 • Henk van den Heuvel, S, Eric ers, Nicoline van der Sijs
This paper describes the process of semi-automatically converting dictionaries from paper to structured text (database) and the integration of these into the CLARIN infrastructure in order to make the dictionaries accessible and retrievable for the research community.
no code implementations • LREC 2016 • S, Eric ers, Pepi Burgos, Catia Cucchiarini, Roel van Hout,
We developed a web application for crowdsourcing transcriptions of Dutch words spoken by Spanish L2 learners.
no code implementations • LREC 2014 • S, Eric ers, Ineke van de Craats, Vanja de Lint
This paper describes the Dutch LESLLA data and its curation.
no code implementations • LREC 2014 • Jetske Klatter, Roel van Hout, , Henk van den Heuvel, Paula Fikkert, Anne Baker, Jan de Jong, Frank Wijnen, S, Eric ers, Paul Trilsbeek
All data sets obtained appropriate CMDI metadata files.
no code implementations • WS 2013 • S, Bolette ford Pedersen, Lars Borin, Markus Forsberg, Neeme Kahusk, Krister Lind{\'e}n, Jyrki Niemi, Niklas Nisbeth, Lars Nygaard, Heili Orav, Eirikur R{\"o}gnvaldsson, Mitchell Seaton, Kadri Vider, Kaarlo Voionmaa
no code implementations • JEPTALNRECITAL 2012 • Ana{\"\i}s Lefeuvre, Richard Moot, Christian Retor{\'e}, S, No{\'e}mie-Fleur illon-Rezer
no code implementations • LREC 2012 • S, Eric ers
In this paper a collection of chats and tweets from the Netherlands and Flanders is described.
no code implementations • LREC 2012 • Henk van den Heuvel, S, Eric ers, Robin Rutten, Stef Scagliola, Paula Witkamp
We present a web-based tool for retrieving and annotating audio fragments of e. g. interviews.