1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2021
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…
cs.CL2020
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…
cs.CL2020★ 1 cited
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…