no code implementations • LREC 2022 • Sanni Nimb, Sussi Olsen, Bolette Pedersen, Thomas Troelsgård
The annotation task of the dataset included several steps, and was based on the comparison of synonyms and near synonyms within a semantic field.
no code implementations • EACL (GWC) 2021 • Sanni Nimb, Bolette Pedersen, Sussi Olsen
We describe the methodology and initial work of semi-automatically transferring adjectives from the Danish Thesaurus to the wordnet with the aim of easily enlarging the coverage from 3, 000 to approx.
no code implementations • GWC 2018 • Bolette Pedersen, Manex Agirrezabal, Sanni Nimb, Ida Olsen, Sussi Olsen
Our aim is to develop principled methods for sense clustering which can make existing lexical resources practically useful in NLP – not too fine-grained to be operational and yet finegrained enough to be worth the trouble.
no code implementations • LREC 2022 • Bolette Pedersen, Nathalie Carmen Hau Sørensen, Sanni Nimb, Ida Flørke, Sussi Olsen, Thomas Troelsgård
We present The Central Word Register for Danish (COR), which is an open source lexicon project for general AI purposes funded and initiated by the Danish Agency for Digitisation as part of an AI initiative embarked by the Danish Government in 2020.
no code implementations • GWC 2019 • Bolette Sandford Pedersen, Sanni Nimb, Ida Rørmann Olsen, Sussi Olsen
Since the Danish wordnet is built bottom-up from Danish lexica and corpora, all taxonomies are monolingually based and thus not necessarily directly compatible with the coverage and structure of the Princeton WordNet.
1 code implementation • GWC 2016 • Hector Martinez Alonso, Anders Johannsen, Sanni Nimb, Sussi Olsen, Bolette Pedersen
We cover the expansion of the already-established supernsense inventory for nouns and verbs, the addition of coarse supersenses for adjectives in absence of a canonical supersense inventory, and super-senses for verbal satellites.
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 2016 • Bolette Pedersen, Anna Braasch, Anders Johannsen, H{\'e}ctor Mart{\'\i}nez Alonso, Sanni Nimb, Sussi Olsen, Anders S{\o}gaard, Nicolai Hartvig S{\o}rensen
The aim of the developed corpus is twofold: i) to assess the reliability of the different sense annotation schemes for Danish measured by qualitative analyses and annotation agreement scores, and ii) to serve as training and test data for machine learning algorithms with the practical purpose of developing sense taggers for Danish.
no code implementations • LREC 2016 • Bente Maegaard, Lina Henriksen, Andrew Joscelyne, Vesna Lusicky, Margaretha Mazura, Sussi Olsen, Claus Povlsen, Philippe Wacker
The Language Technology Observatory will provide easy access to information about LRs deemed to be useful for MT and other translation tools through its LR Catalogue.
no code implementations • LREC 2014 • Dorte Haltrup Hansen, Lene Offersgaard, Sussi Olsen
This paper presents the challenges and issues encountered in the conversion of TEI header metadata into the CMDI format.
no code implementations • LREC 2012 • Andrejs Vasi{\c{l}}jevs, Markus Forsberg, Tatiana Gornostay, Dorte Haltrup Hansen, Krist{\'\i}n J{\'o}hannsd{\'o}ttir, Gunn Lyse, Krister Lind{\'e}n, Lene Offersgaard, Sussi Olsen, Bolette Pedersen, Eir{\'\i}kur R{\"o}gnvaldsson, Inguna Skadi{\c{n}}a, Koenraad De Smedt, Ville Oksanen, Roberts Rozis
The META-NORD project has contributed to an open infrastructure for language resources (data and tools) under the META-NET umbrella.
no code implementations • LREC 2012 • J{\"o}rg Tiedemann, Dorte Haltrup Hansen, Lene Offersgaard, Sussi Olsen, Matthias Zumpe
In this paper, we present the architecture of a distributed resource repository developed for collecting training data for building customized statistical machine translation systems.