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Vector Search with OpenAI Embeddings: Lucene Is All You Need., , , and . CoRR, (2023)Effective Explanations for Entity Resolution Models., , , , , and . ICDE, page 2709-2721. IEEE, (2022)Kelpie: an Explainability Framework for Embedding-based Link Prediction Models., , , and . Proc. VLDB Endow., 15 (12): 3566-3569 (2022)TrustyAI Explainability Toolkit., , , , and . CoRR, (2021)Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues., , , , and . Remote Sensing, 11 (23): 2751 (2019)Explaining Link Prediction with Kelpie., , , and . SEBD, volume 3194 of CEUR Workshop Proceedings, page 191-198. CEUR-WS.org, (2022)Vector Search with OpenAI Embeddings: Lucene Is All You Need., , , and . WSDM, page 1090-1093. ACM, (2024)Affect Enriched Word Embeddings for News Information Retrieval., and . NewsIR@SIGIR, volume 2411 of CEUR Workshop Proceedings, page 63-68. CEUR-WS.org, (2019)par2hier: towards vector representations for hierarchical content.. ICCS, volume 108 of Procedia Computer Science, page 2343-2347. Elsevier, (2017)Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors., and . CoRR, (2019)