Effective Selectional Restrictions for Unsupervised Relation Extraction

Modeling selectional restrictions in a relational type system

Selectional restrictions are semantic constraints on forming certain complex types in natural language. The paper gives an overview of modeling selectional restrictions in a relational type system with morphological and …

Incorporating Selectional Preferences in Multi-hop Relation Extraction

Modeling Violations of Selectional Restrictions with Distributional Semantics

Distributional Semantic Models have been successfully used for modeling selectional preferences in a variety of scenarios, since distributional similarity naturally provides an estimate of the degree to which an argument…

Unsupervised Relation Extraction: A Variational Autoencoder Approach

Unsupervised relation extraction works by clustering entity pairs that have the same relations in the text. Some existing variational autoencoder (VAE)-based approaches train the relation extraction model as an encoder t…

Syntagmatic Word Embeddings for Unsupervised Learning of Selectional Preferences

Selectional Preference (SP) captures the tendency of a word to semantically select other words to be in direct syntactic relation with it, and thus informs us about syntactic word configurations that are meaningful. Ther…