mlsanityData to 14 Oct 2026

Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles

arXiv 1706.09562 ↗First posted 29 Jun 2017cs.CLcited by 1

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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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