1 code implementation • 22 Aug 2022 • Alexander Kalinowski, Yuan An
The majority of knowledge graph embedding techniques treat entities and predicates as separate embedding matrices, using aggregation functions to build a representation of the input triple.
1 code implementation • 2 Oct 2021 • Yuan An, Alexander Kalinowski, Jane Greenberg
Sentence embedding methods offer a powerful approach for working with short textual constructs or sequences of words.
no code implementations • 26 Oct 2020 • Alexander Kalinowski, Yuan An
Neural embedding approaches have become a staple in the fields of computer vision, natural language processing, and more recently, graph analytics.
1 code implementation • 23 Sep 2020 • Alexander Kalinowski, Yuan An
Although a number of techniques have been proposed in the literature for embedding both sentences and knowledge graphs, little is known about the structural and semantic properties of these embedding spaces in terms of relation extraction.