Papers by Bolette Pedersen

10 papers
A Thesaurus-based Sentiment Lexicon for Danish: The Danish Sentiment Lexicon (2022.lrec-1)

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Challenge: a newly published Danish sentiment lexicon with a high lexical coverage was compiled using lexicographic methods and linked data.
Approach: They propose to use lexicographic methods to compile a Danish sentiment lexicon with a high lexical coverage by linking words from a thesaurus to a comprehensive monolingual dictionary.
Outcome: The proposed lexicon contains 13,859 Danish polarity lemmas and includes morphological information.
Compiling a Suitable Level of Sense Granularity in a Lexicon for AI Purposes: The Open Source COR Lexicon (2022.lrec-1)

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Challenge: The central word register for Danish is an open source lexicon project for general AI purposes funded and initiated by the Danish Agency for Digitisation in 2020.
Approach: They propose to use existing fine-grained sense inventory to compile a more AI-appropriate sense granularity level of the vocabulary.
Outcome: The proposed lexical resource is based on the fine-grained sense inventory from Den Danske Ordbog (DDO) it is designed to be more practical and suitable for AI, omitting outdated language and slang, merging subtle and rare sub-senses with their main sense, disregarding sub-domains, etc.
A Danish FrameNet Lexicon and an Annotated Corpus Used for Training and Evaluating a Semantic Frame Classifier (L18-1)

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Challenge: a Danish FrameNet is a lexicon based on the Danish Thesaurus . it is significantly faster than building a new one from scratch .
Approach: They propose a way to efficiently compile a Danish FrameNet based on the Danish Thesaurus . they present the corresponding corpus annotations of frames and roles and show how this can be used for a semantic frame classifier .
Outcome: The proposed approach is faster than building a lexicon from scratch.
World Class Language Technology - Developing a Language Technology Strategy for Danish (2020.lrec-1)

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Challenge: Danish government adopts ambitious strategy for LT and artificial intelligence . 35 million DKK will be spent over a period of 6 years to develop platform .
Approach: They describe the process behind the development of the language-related parts of the strategy . they describe how focus areas and recommendations for the LT strategy were established .
Outcome: The Danish government adopted a new, ambitious strategy for LT and AI in March 2019 . the focus areas and recommendations for the LT strategy were established based on user feedback .
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment (2020.lrec-1)

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Challenge: a new dataset aims to align monolingual dictionaries with a single sense level for 15 languages . this dataset covers a wide range of languages and resources .
Approach: They propose to manually align monolingual dictionaries with possible semantic relationships . they use 15 languages to create a new baseline for the task of monolingual word sense alignment .
Outcome: The proposed dataset covers 15 languages and covers the more challenging task of linking general-purpose language.
Probing for Hyperbole in Pre-Trained Language Models (2023.acl-srw)

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Challenge: Hyperbole is a common figure of speech that involves the use of exaggerated language for emphasis or effect.
Approach: They conduct edge and minimal description length probing experiments on three pre-trained language models to explore the extent to which hyperbolic information is encoded . they also annotate 63 hyperbole sentences from the HYPO dataset according to an operational taxonomy to conduct an error analysis to explore encoding of different hyperboli categories.
Outcome: The results show that hyperbole is encoded in a limited extent in pre-trained models and mostly in the final layers.
Towards a Gold Standard for Evaluating Danish Word Embeddings (2020.lrec-1)

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Challenge: Existing word embedding models resemble semantic similarity solely by distribution, but there seems to be a need for future judgments to measure similarity in full context and along more than a single spectrum.
Approach: They propose a model-agnostic similarity goal standard for evaluating Danish word embeddings based on human judgments made by 42 native speakers of Danish.
Outcome: The goal standard is applied to evaluate Danish word embeddings on 42 native speakers of Danish.
Towards a Danish Semantic Reasoning Benchmark - Compiled from Lexical-Semantic Resources for Assessing Selected Language Understanding Capabilities of Large Language Models (2024.lrec-main)

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Challenge: a semantic reasoning benchmark for Danish is compiled from human-curated lexical-semantic resources.
Approach: They present a semantic reasoning benchmark for Danish compiled semi-automatically from a number of human-curated lexical-semantic resources.
Outcome: The proposed datasets are compiled semi-automatically from human-curated lexical-semantic resources.
Dying or Departing? Euphemism Detection for Death Discourse in Historical Texts (2025.coling-main)

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Challenge: euphemisms are a linguistic device used to soften discussions of uncomfortable topics . euphorias are used to refer to death in a less direct manner during a period of secularization .
Approach: They propose to use a corpus of Danish and Norwegian novels to detect death-related euphemisms . they use pre-trained language models to detect euphoric and literal references to death .
Outcome: The proposed method improves on state-of-the-art language models.

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