Proceedings of the Sixth Joint Conference on Lexical and Computational Semantics (*SEM)

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

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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.


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computational linguistics, learning, natural language processing, natural language processing, semantics

InProceedings

Association for Computational Linguistics

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