Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI

9 August 2022

Papers citing "Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI"

6 / 6 papers shown

Title
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song Xu Tan Tao Qin Jianfeng Lu Tie-Yan Liu 106 1,138 0 20 Apr 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,316 0 27 Aug 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 202 9,479 0 09 Feb 2018
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation Daniel Cer Mona T. Diab Eneko Agirre I. Lopez-Gazpio Lucia Specia 445 1,891 0 31 Jul 2017
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 402 33,565 0 16 Oct 2013
A Tutorial on Spectral Clustering U. V. Luxburg 290 10,544 0 01 Nov 2007