Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now)

Alberto Purpura, Marco Maggipinto, Gianmaria Silvello, Gian Antonio Susto. Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now). In Yi Fang 0008, Yi Zhang 0001, James Allan, Krisztian Balog, Ben Carterette, Jiafeng Guo, editors, Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019. pages 3-10, ACM, 2019. [doi]

Abstract

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