1 code implementation • LREC 2022 • Zdenka Uresova, Karolina Zaczynska, Peter Bourgonje, Eva Fučíková, Georg Rehm, Jan Hajic
We also show the next steps to adapt the annotation process, data structures and formats and tools necessary to make the addition of a new language in the future more smooth and efficient, and possibly to allow for various teams to work on SynSemClass extensions to many languages concurrently.
no code implementations • EAMT 2022 • Itziar Aldabe, Jane Dunne, Aritz Farwell, Owen Gallagher, Federico Gaspari, Maria Giagkou, Jan Hajic, Jens Peter Kückens, Teresa Lynn, Georg Rehm, German Rigau, Katrin Marheinecke, Stelios Piperidis, Natalia Resende, Tea Vojtěchová, Andy Way
This paper provides an overview of the ongoing European Language Equality(ELE) project, an 18-month action funded by the European Commission which involves 52 partners.
no code implementations • 15 May 2023 • Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajic, Daniel Hershcovich, Eduard H. Hovy, Alexander Koller, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova, Roberto Navigli
In the last five years, there has been a significant focus in Natural Language Processing (NLP) on developing larger Pretrained Language Models (PLMs) and introducing benchmarks such as SuperGLUE and SQuAD to measure their abilities in language understanding, reasoning, and reading comprehension.
no code implementations • EACL 2021 • Georg Rehm, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Victoria Arranz, Andrejs Vasi{\c{l}}jevs, Gerhard Backfried, Jose Manuel Gomez-Perez, Ulrich Germann, R{\'e}mi Calizzano, Nils Feldhus, Stefanie Hegele, Florian Kintzel, Katrin Marheinecke, Julian Moreno-Schneider, Dimitris Galanis, Penny Labropoulou, Miltos Deligiannis, Katerina Gkirtzou, Athanasia Kolovou, Dimitris Gkoumas, Leon Voukoutis, Ian Roberts, Jana Hamrlova, Dusan Varis, Lukas Kacena, Khalid Choukri, Val{\'e}rie Mapelli, Micka{\"e}l Rigault, Julija Melnika, Miro Janosik, Katja Prinz, Andres Garcia-Silva, Cristian Berrio, Ondrej Klejch, Steve Renals
Europe is a multilingual society, in which dozens of languages are spoken.
no code implementations • CONLL 2020 • Daniel Zeman, Jan Hajic
Prague Tectogrammatical Graphs (PTG) is a meaning representation framework that originates in the tectogrammatical layer of the Prague Dependency Treebank (PDT) and is theoretically founded in Functional Generative Description of language (FGD).
no code implementations • CONLL 2020 • Stephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajic, Daniel Hershcovich, Bin Li, Tim O{'}Gorman, Nianwen Xue, Daniel Zeman
Extending a similar setup from the previous year, five distinct approaches to the representation of sentence meaning in the form of directed graphs were represented in the English training and evaluation data for the task, packaged in a uniform graph abstraction and serialization; for four of these representation frameworks, additional training and evaluation data was provided for one additional language per framework.
no code implementations • LREC 2020 • Maria Eskevich, Franciska de Jong, Alex K{\"o}nig, er, Darja Fi{\v{s}}er, Dieter van Uytvanck, Tero Aalto, Lars Borin, Olga Gerassimenko, Jan Hajic, Henk van den Heuvel, Neeme Kahusk, Krista Liin, Martin Matthiesen, Stelios Piperidis, Kadri Vider
CLARIN is a European Research Infrastructure providing access to digital language resources and tools from across Europe and beyond to researchers in the humanities and social sciences.
no code implementations • LREC 2020 • Zdenka Uresova, Eva Fucikova, Eva Hajicova, Jan Hajic
The aim is to provide a linguistic resource that can be used to compare semantic roles and their syntactic properties and features across languages within and across synonym groups (classes, or {'}synsets{'}), as well as gold standard data for automatic NLP experiments with such synonyms, such as synonym discovery, feature mapping, etc.
no code implementations • LREC 2020 • Georg Rehm, Maria Berger, Ela Elsholz, Stefanie Hegele, Florian Kintzel, Katrin Marheinecke, Stelios Piperidis, Miltos Deligiannis, Dimitris Galanis, Katerina Gkirtzou, Penny Labropoulou, Kalina Bontcheva, David Jones, Ian Roberts, Jan Hajic, Jana Hamrlová, Lukáš Kačena, Khalid Choukri, Victoria Arranz, Andrejs Vasiļjevs, Orians Anvari, Andis Lagzdiņš, Jūlija Meļņika, Gerhard Backfried, Erinç Dikici, Miroslav Janosik, Katja Prinz, Christoph Prinz, Severin Stampler, Dorothea Thomas-Aniola, José Manuel Gómez Pérez, Andres Garcia Silva, Christian Berrío, Ulrich Germann, Steve Renals, Ondrej Klejch
With 24 official EU and many additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs).
no code implementations • CONLL 2019 • Stephan Oepen, Omri Abend, Jan Hajic, Daniel Hershcovich, Marco Kuhlmann, Tim O{'}Gorman, Nianwen Xue, Jayeol Chun, Milan Straka, Zdenka Uresova
The 2019 Shared Task at the Conference for Computational Language Learning (CoNLL) was devoted to Meaning Representation Parsing (MRP) across frameworks.
1 code implementation • WS 2018 • Gosse Bouma, Jan Hajic, Dag Haug, Joakim Nivre, Per Erik Solberg, Lilja {\O}vrelid
Although treebanks annotated according to the guidelines of Universal Dependencies (UD) now exist for many languages, the goal of annotating the same phenomena in a cross-linguistically consistent fashion is not always met.