arXiv:1611.09799
공식 코드 · Papers with Code
Geometry of Compositionality
원문 초록
This paper proposes a simple test for compositionality (i.e., literal usage) of a word or phrase in a context-specific way. The test is computationally simple, relying on no external resources and only uses a set of trained word vectors. Experiments show that the proposed method is competitive with state of the art and displays high accuracy in context-specific compositionality detection of a variety of natural language phenomena (idiomaticity, sarcasm, metaphor) for different datasets in multiple languages. The key insight is to connect compositionality to a curious geometric property of word embeddings, which is of independent interest.
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Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
A Comparative Analysis of Static Word Embeddings for Hungarian
Geological Inference from Textual Data using Word Embeddings
Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Work
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
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