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

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

9 August 2022
Dennis Vetter
Jesmin Jahan Tithi
Magnus Westerlund
R. Zicari
Gemma Roig
ArXiv (abs)PDFHTMLGithub

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

2 / 2 papers shown
Specious Sites: Tracking the Spread and Sway of Spurious News Stories at
  Scale
Specious Sites: Tracking the Spread and Sway of Spurious News Stories at ScaleIEEE Symposium on Security and Privacy (IEEE S&P), 2023
Hans W. A. Hanley
Deepak Kumar
Zakir Durumeric
472
18
0
03 Aug 2023
Partial Mobilization: Tracking Multilingual Information Flows Amongst
  Russian Media Outlets and Telegram
Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and TelegramInternational Conference on Web and Social Media (ICWSM), 2023
Hans W. A. Hanley
Zakir Durumeric
354
19
0
25 Jan 2023
1
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