Search Results for author: Jan Hajic

Found 14 papers, 2 papers with code

Overview of the ELE Project

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.

Making a Semantic Event-type Ontology Multilingual

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.

Vocal Bursts Type Prediction

What's the Meaning of Superhuman Performance in Today's NLU?

no code implementations15 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.

Position Reading Comprehension

MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing

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.

Sentence

FGD at MRP 2020: Prague Tectogrammatical Graphs

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).

SynSemClass Linked Lexicon: Mapping Synonymy between Languages

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.

MRP 2019: Cross-Framework Meaning Representation Parsing

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.

Sentence

Expletives in Universal Dependency Treebanks

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.

Coreference Resolution Question Answering

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