Papers › Definition Frames: Using Definitions for Hybrid Concept Representations

Definition Frames: Using Definitions for Hybrid Concept Representations

10 Sep 2019COLING 2020 8arXiv:1909.04793archive 2025-07-28

Evangelia Spiliopoulou, Artidoro Pagnoni, Eduard Hovy

Advances in word representations have shown tremendous improvements in downstream NLP tasks, but lack semantic interpretability. In this paper, we introduce Definition Frames (DF), a matrix distributed representation extracted from definitions, where each dimension is semantically interpretable. DF dimensions correspond to the Qualia structure relations: a set of relations that uniquely define a term. Our results show that DFs have competitive performance with other distributional semantic approaches on word similarity tasks.

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Relation ExtractionWord EmbeddingsWord Similarity

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