no code implementations • EACL (GWC) 2021 • Thierry Declerck, Lenka Bajčetić
This paper describes ongoing work aiming at adding pronunciation information to lexical semantic resources, with a focus on open wordnets.
no code implementations • gwll (LREC) 2022 • Thierry Declerck
We describe our current work for linking a new ontology for representing constitutive elements of Sign Languages with lexical data encoded within the OntoLex-Lemon framework.
no code implementations • gwll (LREC) 2022 • Lenka Bajcetic, Seung-bin Yim, Thierry Declerck
This paper presents Edie: ELEXIS DIctionary Evaluator.
no code implementations • LDL (ACL) 2022 • Fahad Khan, Christian Chiarcos, Thierry Declerck, Maria Pia di Buono, Milan Dojchinovski, Jorge Gracia, Giedre Valunaite Oleskeviciene, Daniela Gifu
This article discusses a survey carried out within the NexusLinguarum COST Action which aimed to give an overview of existing guidelines (GLs) and best practices (BPs) in linguistic linked data.
no code implementations • GWC 2016 • Thierry Declerck, Tyler Klement, Antonia Kostova
In the context of a student software project we are investigating the use of WordNet for improving the automatic detection and classification of actors (or characters) mentioned in folktales.
no code implementations • GWC 2019 • Thierry Declerck, Melanie Siegel
In this paper we describe our current work on representing a recently created German lexical semantics resource in OntoLex-Lemon and in conformance with WordNet specifications.
no code implementations • LREC 2022 • Thierry Declerck
We present the current status of a new ontology for representing constitutive elements of Sign Languages (SL).
no code implementations • LREC 2022 • Lenka Bajčetić, Thierry Declerck
This paper describes an approach aiming at utilizing Wiktionary data for creating specialized lexical datasets which can be used for enriching other lexical (semantic) resources or for generating datasets that can be used for evaluating or improving NLP tasks, like Word Sense Disambiguation, Word-in-Context challenges, or Sense Linking across lexicons and dictionaries.
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 • LREC 2020 • Thierry Declerck, Lenka Bajcetic, Melanie Siegel
We describe on-going work consisting in adding pronunciation information to wordnets, as such information can indicate specific senses of a word.
no code implementations • LREC 2020 • Lilli Smal, Andrea L{\"o}sch, Josef van Genabith, Maria Giagkou, Thierry Declerck, Stephan Busemann
Data is key in training modern language technologies.
no code implementations • LREC 2020 • Christian Chiarcos, Maxim Ionov, Jesse de Does, Katrien Depuydt, Anas Fahad Khan, S Stolk, er, Thierry Declerck, John Philip McCrae
Therefore, the OntoLex community has put forward the proposal for a novel module for frequency, attestation and corpus information (FrAC), that not only covers the requirements of digital lexicography, but also accommodates essential data structures for lexical information in natural language processing.
no code implementations • LREC 2020 • Thierry Declerck
This extended abstract presents on-going work consisting in interlinking and merging the Open Dutch WordNet and generic lexicographic resources for Dutch, focusing for now on the Dutch and English versions of Wiktionary and using the Algemeen Nederlands Woordenboek as a quality checking instance.
1 code implementation • LREC 2020 • Sina Ahmadi, John Philip McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette Pedersen, Thierry Declerck, Tanja Wissik, Bell, Andrea i, Irene Pisani, Thomas Troelsg{\aa}rd, Sussi Olsen, Simon Krek, Veronika Lipp, Tam{\'a}s V{\'a}radi, L{\'a}szl{\'o} Simon, Andr{\'a}s Gyorffy, Carole Tiberius, Tanneke Schoonheim, Yifat Ben Moshe, Maya Rudich, Raya Abu Ahmad, Dorielle Lonke, Kira Kovalenko, Margit Langemets, Jelena Kallas, Oksana Dereza, Theodorus Fransen, David Cillessen, David Lindemann, Mikel Alonso, Ana Salgado, Jos{\'e} Luis Sancho, Rafael-J. Ure{\~n}a-Ruiz, Jordi Porta Zamorano, Kiril Simov, Petya Osenova, Zara Kancheva, Ivaylo Radev, Ranka Stankovi{\'c}, Andrej Perdih, Dejan Gabrovsek
Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography.
no code implementations • LREC 2020 • Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saur{\'\i}, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian F{\"a}th, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, Katharine Cooney
In this paper we describe the contributions made by the European H2020 project {``}Pr{\^e}t-{\`a}-LLOD{''} ({`}Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors{'}) to the further development of the Linguistic Linked Open Data (LLOD) infrastructure.
no code implementations • LREC 2020 • Christian Chiarcos, Bettina Klimek, Christian F{\"a}th, Thierry Declerck, John Philip McCrae
In this paper we describe the current state of development of the Linguistic Linked Open Data (LLOD) infrastructure, an LOD(sub-)cloud of linguistic resources, which covers various linguistic data bases, lexicons, corpora, terminology and metadata repositories. We give in some details an overview of the contributions made by the European H2020 projects {``}Pr{\^e}t-{\`a}-LLOD{''} ({`}Ready-to-useMultilingual Linked Language Data for Knowledge Services across Sectors{'}) and {``}ELEXIS{''} ({`}European Lexicographic Infrastructure{'}) to the further development of the LLOD.
no code implementations • RANLP 2019 • Thierry Declerck, Stefania Racioppa
The results of our work will be published on the Linguistic Linked Open Data cloud.
no code implementations • WS 2019 • Thierry Declerck, Melanie Siegel, Stefania Racioppa
We show how the Multiword Expressions (MWEs) contained in OdeNet can be morphologically specified by the use of the lexical representation and linking features of OntoLex-Lemon, which also support the formulation of restrictions in the usage of such expressions.
no code implementations • LREC 2018 • Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga, Sara Goggi, H{\'e}l{\`e}ne Mazo
no code implementations • LREC 2018 • Andrea L{\"o}sch, Val{\'e}rie Mapelli, Stelios Piperidis, Andrejs Vasi{\c{l}}jevs, Lilli Smal, Thierry Declerck, Eileen Schnur, Khalid Choukri, Josef van Genabith
no code implementations • RANLP 2017 • Thierry Declerck, Anastasija Aman, Martin Banzer, Dominik Mach{\'a}{\v{c}}ek, Lisa Sch{\"a}fer, Natalia Skachkova
We describe work done in the field of folkloristics and consisting in creating ontologies based on well-established studies proposed by {``}classical{''} folklorists.
no code implementations • RANLP 2017 • Dagmar Gromann, Thierry Declerck
Rich data provided by tweets have beenanalyzed, clustered, and explored in a variety of studies.
no code implementations • LREC 2016 • Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
no code implementations • LREC 2016 • Piroska Lendvai, Isabelle Augenstein, Kalina Bontcheva, Thierry Declerck
Entailment recognition approaches are useful for application domains such as information extraction, question answering or summarisation, for which evidence from multiple sentences needs to be combined.
no code implementations • LREC 2016 • John Philip McCrae, Christian Chiarcos, Francis Bond, Philipp Cimiano, Thierry Declerck, Gerard de Melo, Jorge Gracia, Sebastian Hellmann, Bettina Klimek, Steven Moran, Petya Osenova, Antonio Pareja-Lora, Jonathan Pool
The Open Linguistics Working Group (OWLG) brings together researchers from various fields of linguistics, natural language processing, and information technology to present and discuss principles, case studies, and best practices for representing, publishing and linking linguistic data collections.
no code implementations • LREC 2014 • Thierry Declerck, Karlheinz M{\"o}rth, W, Eveline l-Vogt
At our institutes we are working with quite some dictionaries and lexical resources in the field of less-resourced language data, like dialects and historical languages.
no code implementations • LREC 2014 • Thierry Declerck, Hans-Ulrich Krieger
We present on-going work on the harmonization of existing German lexical resources in the field of opinion and sentiment mining.
no code implementations • LREC 2014 • Hans-Ulrich Krieger, Thierry Declerck
This paper describes work carried out in the European project TrendMiner which partly deals with the extraction and representation of real time information from dynamic data streams.
no code implementations • LREC 2012 • Maria Gavrilidou, Penny Labropoulou, Elina Desipri, Stelios Piperidis, Haris Papageorgiou, Monica Monachini, Francesca Frontini, Thierry Declerck, Gil Francopoulo, Victoria Arranz, Valerie Mapelli
This paper presents a metadata model for the description of language resources proposed in the framework of the META-SHARE infrastructure, aiming to cover both datasets and tools/technologies used for their processing.
no code implementations • LREC 2012 • Thierry Declerck, Karlheinz M{\"o}rth, Piroska Lendvai
We describe the usefulness of Wiktionary, the freely available web-based lexical resource, in providing multilingual extensions to catalogues that serve content-based indexing of folktales and related narratives.