Sanni Nimb


2021

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DanNet2: Extending the coverage of adjectives in DanNet based on thesaurus data (project presentation)
Sanni Nimb | Bolette Pedersen | Sussi Olsen
Proceedings of the 11th Global Wordnet Conference

The paper describes work in progress in the DanNet2 project financed by the Carlsberg Foundation. The project aim is to extend the original Danish wordnet, DanNet, in several ways. Main focus is on extension of the coverage and description of the adjectives, a part of speech that was rather sparsely described in the original wordnet. 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. 13,000 adjectival synsets. Transfer is performed by manually encoding all missing adjectival subsection headwords from the thesaurus and thereafter employing a semi-automatic procedure where adjectives from the same subsection are transferred to the wordnet as either 1) near synonyms to the section’s headword, 2) hyponyms to the section’s headword, or 3) as members of the same synset as the headword. We also discuss how to deal with the problem of multiple representations of the same sense in the thesaurus, and present other types of information from the thesaurus that we plan to integrate, such as thematic and sentiment information.

2020

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A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
Sina Ahmadi | John Philip McCrae | Sanni Nimb | Fahad Khan | Monica Monachini | Bolette Pedersen | Thierry Declerck | Tanja Wissik | Andrea Bellandi | Irene Pisani | Thomas Troelsgård | Sussi Olsen | Simon Krek | Veronika Lipp | Tamás Váradi | László Simon | András 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 | José Luis Sancho | Rafael-J. Ureña-Ruiz | Jordi Porta Zamorano | Kiril Simov | Petya Osenova | Zara Kancheva | Ivaylo Radev | Ranka Stanković | Andrej Perdih | Dejan Gabrovsek
Proceedings of the 12th Language Resources and Evaluation Conference

Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment is carried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships such as broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide range of languages and resources and focuses on the more challenging task of linking general-purpose language. We believe that our data will pave the way for further advances in alignment and evaluation of word senses by creating new solutions, particularly those notoriously requiring data such as neural networks. Our resources are publicly available at https://github.com/elexis-eu/MWSA.

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World Class Language Technology - Developing a Language Technology Strategy for Danish
Sabine Kirchmeier | Bolette Pedersen | Sanni Nimb | Philip Diderichsen | Peter Juel Henrichsen
Proceedings of the 12th Language Resources and Evaluation Conference

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. In March 2019, however, the Danish government adopted a new, ambitious strategy for LT and artificial intelligence. In this paper, we describe the process behind the development of the language-related parts of the strategy: A Danish Language Technology Committee was constituted and a comprehensive series of workshops were organized in which users, suppliers, developers, and researchers gave their valuable input based on their experiences. We describe how, based on this experience, the focus areas and recommendations for the LT strategy were established, and which steps are currently taken in order to put the strategy into practice.

2019

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Merging DanNet with Princeton Wordnet
Bolette Sandford Pedersen | Sanni Nimb | Ida Rørmann Olsen | Sussi Olsen
Proceedings of the 10th Global Wordnet Conference

In this paper we describe the merge of the Danish wordnet, DanNet, with Princeton Wordnet applying a two-step approach. We first link from the English Princeton core to Danish (5,000 base concepts) and then proceed to linking the rest of the Danish vocabulary to English, thus going from Danish to English. 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. This fact proves to pose some challenges to the linking procedure since a considerable number of the links cannot be realised via the preferred cross-language synonym link which implies a more or less precise correlation between the two concepts. Instead, a subpart of the links are realised through near synonym or hyponymy links to compensate for the fact that no precise translation can be found in the target resource. The tool WordnetLoom is currently used for manual linking but procedures for a more automatic procedure in future is discussed. We conclude that the two resources actually differ from each other quite more than expected, both vocabulary and structure-wise.

2018

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A Danish FrameNet Lexicon and an Annotated Corpus Used for Training and Evaluating a Semantic Frame Classifier
Bolette Pedersen | Sanni Nimb | Anders Søgaard | Mareike Hartmann | Sussi Olsen
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Towards a principled approach to sense clustering – a case study of wordnet and dictionary senses in Danish
Bolette Pedersen | Manex Agirrezabal | Sanni Nimb | Ida Olsen | Sussi Olsen
Proceedings of the 9th Global Wordnet Conference

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. Where traditional dictionaries have a highly structured sense inventory typically describing the vocabulary by means of mainand subsenses, wordnets are generally fine-grained and unstructured. We present a series of clustering and annotation experiments with 10 of the most polysemous nouns in Danish. We combine the structured information of a traditional Danish dictionary with the ontological types found in the Danish wordnet, DanNet. This constellation enables us to automatically cluster senses in a principled way and improve inter-annotator agreement and wsd performance.

2016

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The SemDaX Corpus ― Sense Annotations with Scalable Sense Inventories
Bolette Pedersen | Anna Braasch | Anders Johannsen | Héctor Martínez Alonso | Sanni Nimb | Sussi Olsen | Anders Søgaard | Nicolai Hartvig Sørensen
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

We launch the SemDaX corpus which is a recently completed Danish human-annotated corpus available through a CLARIN academic license. The corpus includes approx. 90,000 words, comprises six textual domains, and is annotated with sense inventories of different granularity. 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. To these aims, we take a new approach to human-annotated corpus resources by double annotating a much larger part of the corpus than what is normally seen: for the all-words task we double annotated 60% of the material and for the lexical sample task 100%. We include in the corpus not only the adjucated files, but also the diverging annotations. In other words, we consider not all disagreement to be noise, but rather to contain valuable linguistic information that can help us improve our annotation schemes and our learning algorithms.

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An empirically grounded expansion of the supersense inventory
Hector Martinez Alonso | Anders Johannsen | Sanni Nimb | Sussi Olsen | Bolette Pedersen
Proceedings of the 8th Global WordNet Conference (GWC)

In this article we present an expansion of the supersense inventory. All new super-senses are extensions of members of the current inventory, which we postulate by identifying semantically coherent groups of synsets. 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. We evaluate the viability of the new senses examining the annotation agreement, frequency and co-ocurrence patterns.

2015

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Supersense tagging for Danish
Héctor Martínez Alonso | Anders Johannsen | Sussi Olsen | Sanni Nimb | Nicolai Hartvig Sørensen | Anna Braasch | Anders Søgaard | Bolette Sandford Pedersen
Proceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015)

2012

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Towards a richer wordnet representation of properties
Sanni Nimb | Bolette Sandford Pedersen
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

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). In spite of the fact that the thesaurus is still under development (two thirds still to be compiled) we perform an automatic transfer of relations from the thesaurus to the wordnet which shows promising results. In all, 2,362 property relations are automatically transferred to DanNet and 2% of the transferred material is manually validated. The pilot validation indicates that approx. 90 % of the transferred relations are correctly assigned whereas around 10% are either erroneous or just not very informative, a fact which, however, can partly be explained by the incompleteness of the material at its current stage. As a further consequence, the experiment has led to a richer specification of the editor guidelines to be used in the last compilation phase of the thesaurus.

2010

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Merging Specialist Taxonomies and Folk Taxonomies in Wordnets - A case Study of Plants, Animals and Foods in the Danish Wordnet
Bolette S. Pedersen | Sanni Nimb | Anna Braasch
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

In this paper we investigate the problem of merging specialist taxonomies with the more intuitive folk taxonomies in lexical-semantic resources like wordnets; and we focus in particular on plants, animals and foods. We show that a traditional dictionary like Den Danske Ordbog (DDO) survives well with several inconsistencies between different taxonomies of the vocabulary and that a restructuring is therefore necessary in order to compile a consistent wordnet resource on its basis. To this end, we apply Cruse’s definitions for hyponymies, namely those of natural kinds (such as plants and animals) on the one hand and functional kinds (such as foods) on the other. We pursue this distinction in the development of the Danish wordnet, DanNet, which has recently been built on the basis of DDO and is made open source for all potential users at www.wordnet.dk. Not surprisingly, we conclude that cultural background influences the structure of folk taxonomies quite radically, and that wordnet builders must therefore consider these carefully in order to capture their central characteristics in a systematic way.

2006

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LEXADV - a multilingual semantic Lexicon for Adverbs
Sanni Nimb
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Topic: lexical ressources, international project Abstract: The LEXADV-project is a Scandinavian research project (2004-2006, financed by Nordplus Sprog) with the aim of extending three Scandinavian semantic lexicons building on the SIMPLE lexicon model (Lenci et al., 2000) with the word class of adverbs. In the lexicons of approx. 400 Danish, Norwegian and Swedish adverbs the different senses are described with a semantic type and a set of semantic features. A classification covering the many meanings that adverbs can have has been established and integrated in the original SIMPLE ontology. Similarly new features have been added to the model in order to describe the adverb senses. The working method of the project builds on the fact that the vocabularies of Danish, Norwegian and Swedish are closely related. An encoding tool has been developed with the special purpose of permitting easy transfer of semantic types and features between entries in the three languages. The Danish adverb senses have been described first, based on the definition in a modern, comprehensive Danish dictionary. Afterwards the lemmas have been translated and the semantic data have been copied into the Swedish as well as into the Norwegian equivalent entry. Finally these copies have been evaluated and when necessary adjusted by native speakers.

2004

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A Corpus-based Syntactic Lexicon for Adverbs
Sanni Nimb
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

A word class often neglected in the field of NLP resources, namely adverbs, has lately been described in a computational lexicon produced at CST as one of the results of a Ph.D.-project. The adverb lexicon, which is integrated in the Danish STO lexicon, gives detailed syntactic information on the type of modification and position, as well as on other syntactic properties of approx 800 Danish adverbs. One of the aims of the lexicon has been to establish a clear distinction between syntactic and semantic information - where other lexicons often generalize over the syntactic behavior of semantic classes of adverbs, every adverb is described with respect to its proper syntactic behavior in a text corpus, revealing very individual syntactic properties. Syntactic information on adverbs is needed in NLP systems generating text to ensure correct placing in the phrase they modify. Also in systems analyzing text, this information is needed in order to attach the adverbs to the right node in the syntactic parse trees. Within the field of linguistic research, several results can be deduced from the lexicon, e.g. knowledge of syntactic classes of Danish adverbs.

2002

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Adverbs in Semantic Lexica for NLP - The extension of the Danish SIMPLE lexicon with Time Adverbs
Sanni Nimb
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

2000

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Semantic Encoding of Danish Verbs in SIMPLE - Adapting a Verb Framed Model to a Satellite-framed Language
Bolette Sandford Pedersen | Sanni Nimb
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)