Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles
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Abstract (arXiv)
We study how different frame annotations complement one another when learning continuous lexical semantics. We learn the representations from a tensorized skip-gram model that consistently encodes syntactic-semantic content better, with multiple 10% gains over baselines.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 29 Jun 2017.
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- 2022Semantically-informed Hierarchical Event Modelingcited by 2
- 2022Semantically-informed Hierarchical Event Modeling20 Dec 2022