mlsanityData to 7 Oct 2026

3D-EX : A Unified Dataset of Definitions and Dictionary Examples

arXiv 2308.03043 ↗First posted 6 Aug 2023cs.CLcited by 1

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Abstract (arXiv)

Definitions are a fundamental building block in lexicography, linguistics and computational semantics. In NLP, they have been used for retrofitting word embeddings or augmenting contextual representations in language models. However, lexical resources containing definitions exhibit a wide range of properties, which has implications in the behaviour of models trained and evaluated on them. In this paper, we introduce 3D- EX , a dataset that aims to fill this gap by combining well-known English resources into one centralized knowledge repository in the form of <term, definition, example> triples. 3D- EX is a unified evaluation framework with carefully pre-computed train/validation/test splits to prevent memorization. We report experimental results that suggest that this dataset could be effectively leveraged in downstream NLP tasks. Code and data are available at https://github.com/F-Almeman/3D-EX .

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 25 of its 79 references that are in the map. First posted on arXiv 6 Aug 2023.

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25 of 79 references.

References · 25

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13 more
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