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Found 12 papers, 2 papers with code
Merging DanNet with Princeton Wordnet
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.
An empirically grounded expansion of the supersense inventory
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.
A Thesaurus-based Sentiment Lexicon for Danish: The Danish Sentiment Lexicon
The annotation task of the dataset included several steps, and was based on the comparison of synonyms and near synonyms within a semantic field.
DanNet2: Extending the coverage of adjectives in DanNet based on thesaurus data (project presentation)
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.
Towards a principled approach to sense clustering – a case study of wordnet and dictionary senses in Danish
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.
Compiling a Suitable Level of Sense Granularity in a Lexicon for AI Purposes: The Open Source COR Lexicon
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.
World Class Language Technology - Developing a Language Technology Strategy for Danish
Although Denmark is one of the most digitized countries in Europe, no coordinated efforts have been made in recent years to support the Danish language with regard to language technology and artificial intelligence.
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography.
The SemDaX Corpus ― Sense Annotations with Scalable Sense Inventories
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.
Towards a richer wordnet representation of properties
This paper discusses how information on properties in a currently developed Danish thesaurus can be transferred to the Danish wordnet, DanNet, and in this way enrich the wordnet with the highly relevant links between properties and their external arguments (i. e. tasty ― food).
