4 citations · 5 across the 4 of their papers we have counts for
4 papers
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision
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 inpu…
Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences
Yuan An, Alexander Kalinowski, Jane Greenberg
Sentence embedding methods offer a powerful approach for working with short textual constructs or sequences of words. By representing sentences as dense numerical vectors, many nat…
A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs
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. Given the pervasive nature of th…
A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
Alexander Kalinowski, Yuan An
Sentence embeddings encode natural language sentences as low-dimensional dense vectors. A great deal of effort has been put into using sentence embeddings to improve several import…