BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations
October 06, 2020 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
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Authors
Aina Garรญ Soler, Marianna Apidianaki
arXiv ID
2010.02686
Category
cs.CL: Computation & Language
Citations
24
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
Abstract
Adjectives like pretty, beautiful and gorgeous describe positive properties of the nouns they modify but with different intensity. These differences are important for natural language understanding and reasoning. We propose a novel BERT-based approach to intensity detection for scalar adjectives. We model intensity by vectors directly derived from contextualised representations and show they can successfully rank scalar adjectives. We evaluate our models both intrinsically, on gold standard datasets, and on an Indirect Question Answering task. Our results demonstrate that BERT encodes rich knowledge about the semantics of scalar adjectives, and is able to provide better quality intensity rankings than static embeddings and previous models with access to dedicated resources.
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